Concurrent Number Prognosis
Enabling present relationships to extrapolate a series.
• 43 min read
python math lstm visualizations
- Project At A Glance
- Dependencies
- Initialization
- Data as NumPy Arrays
- Train-Test Split
- Model Setup and Layers
- Results and Visualization
Project At A Glance
Objective: Predicting values in numeric data that sequentially lead by a given parameter: n.
Data:
- Data: Group of 100 5x1 lists that contain overlapping adjacent values. Example: [[1:5], [2:6], [3:7]...]
- Target: Group of 100 1x1 lists with the target values for generation. Example: [[1], [2], [3]...]
Implementation: Long Short-Term Memory (LSTM), Recurrent Neural Networks
Results:
- The LSTM computed f-score = 0.935 and loss = 0.036 on training for 400 epochs.
- Scatter plots to visualize performance and loss deprecation.
Deployment: View this project on GitHub.
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense, LSTM
from sklearn.model_selection import train_test_split
Data = [[[(i+j)/100] for i in range(5)] for j in range(100)]
Target = [(i+5)/100 for i in range(100)]
data = np.array(Data, dtype=float)
target = np.array(Target, dtype=float)
data.shape
(100, 5, 1)
target.shape
(100,)
x_train, x_test, y_train, y_test = train_test_split(data, target, test_size=0.2, random_state=4)
model = Sequential()
model.add(LSTM((1), batch_input_shape=(None,5,1), return_sequences=True))
model.add(LSTM((1), return_sequences=False))
# the return_sequences parameter assists in enabling convolution for the sequential LSTM
model.compile(loss='mean_absolute_error', optimizer='adam', metrics=['accuracy'])
model.summary()
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lstm (LSTM) (None, 5, 1) 12
lstm_1 (LSTM) (None, 1) 12
=================================================================
Total params: 24
Trainable params: 24
Non-trainable params: 0
_________________________________________________________________
history = model.fit(x_train, y_train, epochs=400, validation_data=(x_test, y_test))
Epoch 1/400 3/3 [==============================] - 5s 474ms/step - loss: 0.5351 - accuracy: 0.0000e+00 - val_loss: 0.4311 - val_accuracy: 0.0000e+00 Epoch 2/400 3/3 [==============================] - 0s 27ms/step - loss: 0.5325 - accuracy: 0.0000e+00 - val_loss: 0.4286 - val_accuracy: 0.0000e+00 Epoch 3/400 3/3 [==============================] - 0s 25ms/step - loss: 0.5297 - accuracy: 0.0000e+00 - val_loss: 0.4260 - val_accuracy: 0.0000e+00 Epoch 4/400 3/3 [==============================] - 0s 14ms/step - loss: 0.5270 - accuracy: 0.0000e+00 - val_loss: 0.4233 - val_accuracy: 0.0000e+00 Epoch 5/400 3/3 [==============================] - 0s 14ms/step - loss: 0.5241 - accuracy: 0.0000e+00 - val_loss: 0.4207 - val_accuracy: 0.0000e+00 Epoch 6/400 3/3 [==============================] - 0s 14ms/step - loss: 0.5213 - accuracy: 0.0000e+00 - val_loss: 0.4179 - val_accuracy: 0.0000e+00 Epoch 7/400 3/3 [==============================] - 0s 21ms/step - loss: 0.5184 - accuracy: 0.0000e+00 - val_loss: 0.4151 - val_accuracy: 0.0000e+00 Epoch 8/400 3/3 [==============================] - 0s 15ms/step - loss: 0.5154 - accuracy: 0.0000e+00 - val_loss: 0.4123 - val_accuracy: 0.0000e+00 Epoch 9/400 3/3 [==============================] - 0s 13ms/step - loss: 0.5123 - accuracy: 0.0000e+00 - val_loss: 0.4094 - val_accuracy: 0.0000e+00 Epoch 10/400 3/3 [==============================] - 0s 14ms/step - loss: 0.5093 - accuracy: 0.0000e+00 - val_loss: 0.4064 - val_accuracy: 0.0000e+00 Epoch 11/400 3/3 [==============================] - 0s 14ms/step - loss: 0.5061 - accuracy: 0.0000e+00 - val_loss: 0.4034 - val_accuracy: 0.0000e+00 Epoch 12/400 3/3 [==============================] - 0s 15ms/step - loss: 0.5029 - accuracy: 0.0000e+00 - val_loss: 0.4003 - val_accuracy: 0.0000e+00 Epoch 13/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4996 - accuracy: 0.0000e+00 - val_loss: 0.3972 - val_accuracy: 0.0000e+00 Epoch 14/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4962 - accuracy: 0.0000e+00 - val_loss: 0.3940 - val_accuracy: 0.0000e+00 Epoch 15/400 3/3 [==============================] - 0s 17ms/step - loss: 0.4928 - accuracy: 0.0000e+00 - val_loss: 0.3907 - val_accuracy: 0.0000e+00 Epoch 16/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4893 - accuracy: 0.0000e+00 - val_loss: 0.3873 - val_accuracy: 0.0000e+00 Epoch 17/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4857 - accuracy: 0.0000e+00 - val_loss: 0.3839 - val_accuracy: 0.0000e+00 Epoch 18/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4820 - accuracy: 0.0000e+00 - val_loss: 0.3804 - val_accuracy: 0.0000e+00 Epoch 19/400 3/3 [==============================] - 0s 13ms/step - loss: 0.4783 - accuracy: 0.0000e+00 - val_loss: 0.3768 - val_accuracy: 0.0000e+00 Epoch 20/400 3/3 [==============================] - 0s 15ms/step - loss: 0.4745 - accuracy: 0.0000e+00 - val_loss: 0.3731 - val_accuracy: 0.0000e+00 Epoch 21/400 3/3 [==============================] - 0s 16ms/step - loss: 0.4705 - accuracy: 0.0000e+00 - val_loss: 0.3693 - val_accuracy: 0.0000e+00 Epoch 22/400 3/3 [==============================] - 0s 18ms/step - loss: 0.4665 - accuracy: 0.0000e+00 - val_loss: 0.3654 - val_accuracy: 0.0000e+00 Epoch 23/400 3/3 [==============================] - 0s 22ms/step - loss: 0.4625 - accuracy: 0.0000e+00 - val_loss: 0.3615 - val_accuracy: 0.0000e+00 Epoch 24/400 3/3 [==============================] - 0s 25ms/step - loss: 0.4584 - accuracy: 0.0000e+00 - val_loss: 0.3575 - val_accuracy: 0.0000e+00 Epoch 25/400 3/3 [==============================] - 0s 22ms/step - loss: 0.4542 - accuracy: 0.0000e+00 - val_loss: 0.3534 - val_accuracy: 0.0000e+00 Epoch 26/400 3/3 [==============================] - 0s 29ms/step - loss: 0.4500 - accuracy: 0.0000e+00 - val_loss: 0.3492 - val_accuracy: 0.0000e+00 Epoch 27/400 3/3 [==============================] - 0s 30ms/step - loss: 0.4457 - accuracy: 0.0000e+00 - val_loss: 0.3450 - val_accuracy: 0.0000e+00 Epoch 28/400 3/3 [==============================] - 0s 29ms/step - loss: 0.4413 - accuracy: 0.0000e+00 - val_loss: 0.3408 - val_accuracy: 0.0000e+00 Epoch 29/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4369 - accuracy: 0.0000e+00 - val_loss: 0.3367 - val_accuracy: 0.0000e+00 Epoch 30/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4324 - accuracy: 0.0000e+00 - val_loss: 0.3325 - val_accuracy: 0.0000e+00 Epoch 31/400 3/3 [==============================] - 0s 15ms/step - loss: 0.4278 - accuracy: 0.0000e+00 - val_loss: 0.3282 - val_accuracy: 0.0000e+00 Epoch 32/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4232 - accuracy: 0.0000e+00 - val_loss: 0.3238 - val_accuracy: 0.0000e+00 Epoch 33/400 3/3 [==============================] - 0s 14ms/step - loss: 0.4185 - accuracy: 0.0000e+00 - val_loss: 0.3194 - val_accuracy: 0.0000e+00 Epoch 34/400 3/3 [==============================] - 0s 15ms/step - loss: 0.4138 - accuracy: 0.0000e+00 - val_loss: 0.3149 - val_accuracy: 0.0000e+00 Epoch 35/400 3/3 [==============================] - 0s 15ms/step - loss: 0.4091 - accuracy: 0.0000e+00 - val_loss: 0.3104 - val_accuracy: 0.0000e+00 Epoch 36/400 3/3 [==============================] - 0s 15ms/step - loss: 0.4043 - accuracy: 0.0000e+00 - val_loss: 0.3057 - val_accuracy: 0.0000e+00 Epoch 37/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3994 - accuracy: 0.0000e+00 - val_loss: 0.3010 - val_accuracy: 0.0000e+00 Epoch 38/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3946 - accuracy: 0.0000e+00 - val_loss: 0.2962 - val_accuracy: 0.0000e+00 Epoch 39/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3897 - accuracy: 0.0000e+00 - val_loss: 0.2913 - val_accuracy: 0.0000e+00 Epoch 40/400 3/3 [==============================] - 0s 14ms/step - loss: 0.3850 - accuracy: 0.0000e+00 - val_loss: 0.2864 - val_accuracy: 0.0000e+00 Epoch 41/400 3/3 [==============================] - 0s 16ms/step - loss: 0.3802 - accuracy: 0.0000e+00 - val_loss: 0.2815 - val_accuracy: 0.0000e+00 Epoch 42/400 3/3 [==============================] - 0s 16ms/step - loss: 0.3753 - accuracy: 0.0000e+00 - val_loss: 0.2765 - val_accuracy: 0.0000e+00 Epoch 43/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3705 - accuracy: 0.0000e+00 - val_loss: 0.2715 - val_accuracy: 0.0000e+00 Epoch 44/400 3/3 [==============================] - 0s 14ms/step - loss: 0.3658 - accuracy: 0.0000e+00 - val_loss: 0.2664 - val_accuracy: 0.0000e+00 Epoch 45/400 3/3 [==============================] - 0s 14ms/step - loss: 0.3612 - accuracy: 0.0000e+00 - val_loss: 0.2614 - val_accuracy: 0.0000e+00 Epoch 46/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3562 - accuracy: 0.0000e+00 - val_loss: 0.2568 - val_accuracy: 0.0000e+00 Epoch 47/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3515 - accuracy: 0.0000e+00 - val_loss: 0.2521 - val_accuracy: 0.0000e+00 Epoch 48/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3467 - accuracy: 0.0000e+00 - val_loss: 0.2474 - val_accuracy: 0.0000e+00 Epoch 49/400 3/3 [==============================] - 0s 14ms/step - loss: 0.3420 - accuracy: 0.0000e+00 - val_loss: 0.2426 - val_accuracy: 0.0000e+00 Epoch 50/400 3/3 [==============================] - 0s 14ms/step - loss: 0.3373 - accuracy: 0.0000e+00 - val_loss: 0.2379 - val_accuracy: 0.0000e+00 Epoch 51/400 3/3 [==============================] - 0s 16ms/step - loss: 0.3326 - accuracy: 0.0000e+00 - val_loss: 0.2335 - val_accuracy: 0.0000e+00 Epoch 52/400 3/3 [==============================] - 0s 16ms/step - loss: 0.3279 - accuracy: 0.0000e+00 - val_loss: 0.2294 - val_accuracy: 0.0000e+00 Epoch 53/400 3/3 [==============================] - 0s 16ms/step - loss: 0.3231 - accuracy: 0.0000e+00 - val_loss: 0.2254 - val_accuracy: 0.0000e+00 Epoch 54/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3182 - accuracy: 0.0000e+00 - val_loss: 0.2214 - val_accuracy: 0.0000e+00 Epoch 55/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3136 - accuracy: 0.0000e+00 - val_loss: 0.2180 - val_accuracy: 0.0000e+00 Epoch 56/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3088 - accuracy: 0.0000e+00 - val_loss: 0.2145 - val_accuracy: 0.0000e+00 Epoch 57/400 3/3 [==============================] - 0s 15ms/step - loss: 0.3043 - accuracy: 0.0000e+00 - val_loss: 0.2111 - val_accuracy: 0.0000e+00 Epoch 58/400 3/3 [==============================] - 0s 15ms/step - loss: 0.2999 - accuracy: 0.0000e+00 - val_loss: 0.2077 - val_accuracy: 0.0000e+00 Epoch 59/400 3/3 [==============================] - 0s 14ms/step - loss: 0.2952 - accuracy: 0.0000e+00 - val_loss: 0.2043 - val_accuracy: 0.0000e+00 Epoch 60/400 3/3 [==============================] - 0s 16ms/step - loss: 0.2914 - accuracy: 0.0000e+00 - val_loss: 0.2013 - val_accuracy: 0.0000e+00 Epoch 61/400 3/3 [==============================] - 0s 24ms/step - loss: 0.2867 - accuracy: 0.0000e+00 - val_loss: 0.1985 - val_accuracy: 0.0000e+00 Epoch 62/400 3/3 [==============================] - 0s 40ms/step - loss: 0.2828 - accuracy: 0.0000e+00 - val_loss: 0.1957 - val_accuracy: 0.0000e+00 Epoch 63/400 3/3 [==============================] - 0s 35ms/step - loss: 0.2788 - accuracy: 0.0000e+00 - val_loss: 0.1929 - val_accuracy: 0.0000e+00 Epoch 64/400 3/3 [==============================] - 0s 26ms/step - loss: 0.2750 - accuracy: 0.0000e+00 - val_loss: 0.1901 - val_accuracy: 0.0000e+00 Epoch 65/400 3/3 [==============================] - 0s 27ms/step - loss: 0.2710 - accuracy: 0.0000e+00 - val_loss: 0.1877 - val_accuracy: 0.0000e+00 Epoch 66/400 3/3 [==============================] - 0s 33ms/step - loss: 0.2674 - accuracy: 0.0000e+00 - val_loss: 0.1855 - val_accuracy: 0.0000e+00 Epoch 67/400 3/3 [==============================] - 0s 45ms/step - loss: 0.2639 - accuracy: 0.0000e+00 - val_loss: 0.1833 - val_accuracy: 0.0000e+00 Epoch 68/400 3/3 [==============================] - 0s 42ms/step - loss: 0.2604 - accuracy: 0.0000e+00 - val_loss: 0.1816 - val_accuracy: 0.0000e+00 Epoch 69/400 3/3 [==============================] - 0s 36ms/step - loss: 0.2568 - accuracy: 0.0000e+00 - val_loss: 0.1800 - val_accuracy: 0.0000e+00 Epoch 70/400 3/3 [==============================] - 0s 37ms/step - loss: 0.2536 - accuracy: 0.0000e+00 - val_loss: 0.1785 - val_accuracy: 0.0000e+00 Epoch 71/400 3/3 [==============================] - 0s 48ms/step - loss: 0.2504 - accuracy: 0.0000e+00 - val_loss: 0.1769 - val_accuracy: 0.0000e+00 Epoch 72/400 3/3 [==============================] - 0s 51ms/step - loss: 0.2474 - accuracy: 0.0000e+00 - val_loss: 0.1757 - val_accuracy: 0.0000e+00 Epoch 73/400 3/3 [==============================] - 0s 50ms/step - loss: 0.2446 - accuracy: 0.0000e+00 - val_loss: 0.1747 - val_accuracy: 0.0000e+00 Epoch 74/400 3/3 [==============================] - 0s 48ms/step - loss: 0.2416 - accuracy: 0.0000e+00 - val_loss: 0.1737 - val_accuracy: 0.0000e+00 Epoch 75/400 3/3 [==============================] - 0s 55ms/step - loss: 0.2390 - accuracy: 0.0000e+00 - val_loss: 0.1727 - val_accuracy: 0.0000e+00 Epoch 76/400 3/3 [==============================] - 0s 51ms/step - loss: 0.2364 - accuracy: 0.0000e+00 - val_loss: 0.1718 - val_accuracy: 0.0000e+00 Epoch 77/400 3/3 [==============================] - 0s 59ms/step - loss: 0.2339 - accuracy: 0.0000e+00 - val_loss: 0.1708 - val_accuracy: 0.0000e+00 Epoch 78/400 3/3 [==============================] - 0s 54ms/step - loss: 0.2316 - accuracy: 0.0000e+00 - val_loss: 0.1698 - val_accuracy: 0.0000e+00 Epoch 79/400 3/3 [==============================] - 0s 28ms/step - loss: 0.2293 - accuracy: 0.0000e+00 - val_loss: 0.1688 - val_accuracy: 0.0000e+00 Epoch 80/400 3/3 [==============================] - 0s 21ms/step - loss: 0.2274 - accuracy: 0.0000e+00 - val_loss: 0.1678 - val_accuracy: 0.0000e+00 Epoch 81/400 3/3 [==============================] - 0s 23ms/step - loss: 0.2253 - accuracy: 0.0000e+00 - val_loss: 0.1668 - val_accuracy: 0.0000e+00 Epoch 82/400 3/3 [==============================] - 0s 25ms/step - loss: 0.2232 - accuracy: 0.0000e+00 - val_loss: 0.1661 - val_accuracy: 0.0000e+00 Epoch 83/400 3/3 [==============================] - 0s 23ms/step - loss: 0.2214 - accuracy: 0.0000e+00 - val_loss: 0.1654 - val_accuracy: 0.0000e+00 Epoch 84/400 3/3 [==============================] - 0s 46ms/step - loss: 0.2195 - accuracy: 0.0000e+00 - val_loss: 0.1647 - val_accuracy: 0.0500 Epoch 85/400 3/3 [==============================] - 0s 46ms/step - loss: 0.2176 - accuracy: 0.0000e+00 - val_loss: 0.1640 - val_accuracy: 0.0500 Epoch 86/400 3/3 [==============================] - 0s 43ms/step - loss: 0.2158 - accuracy: 0.0000e+00 - val_loss: 0.1633 - val_accuracy: 0.0500 Epoch 87/400 3/3 [==============================] - 0s 35ms/step - loss: 0.2140 - accuracy: 0.0000e+00 - val_loss: 0.1629 - val_accuracy: 0.0500 Epoch 88/400 3/3 [==============================] - 0s 25ms/step - loss: 0.2122 - accuracy: 0.0000e+00 - val_loss: 0.1625 - val_accuracy: 0.0500 Epoch 89/400 3/3 [==============================] - 0s 23ms/step - loss: 0.2104 - accuracy: 0.0000e+00 - val_loss: 0.1621 - val_accuracy: 0.0500 Epoch 90/400 3/3 [==============================] - 0s 24ms/step - loss: 0.2085 - accuracy: 0.0000e+00 - val_loss: 0.1617 - val_accuracy: 0.0500 Epoch 91/400 3/3 [==============================] - 0s 30ms/step - loss: 0.2070 - accuracy: 0.0000e+00 - val_loss: 0.1612 - val_accuracy: 0.0500 Epoch 92/400 3/3 [==============================] - 0s 25ms/step - loss: 0.2052 - accuracy: 0.0000e+00 - val_loss: 0.1607 - val_accuracy: 0.0500 Epoch 93/400 3/3 [==============================] - 0s 25ms/step - loss: 0.2036 - accuracy: 0.0000e+00 - val_loss: 0.1601 - val_accuracy: 0.0500 Epoch 94/400 3/3 [==============================] - 0s 30ms/step - loss: 0.2020 - accuracy: 0.0000e+00 - val_loss: 0.1595 - val_accuracy: 0.0500 Epoch 95/400 3/3 [==============================] - 0s 28ms/step - loss: 0.2005 - accuracy: 0.0000e+00 - val_loss: 0.1589 - val_accuracy: 0.0500 Epoch 96/400 3/3 [==============================] - 0s 29ms/step - loss: 0.1989 - accuracy: 0.0000e+00 - val_loss: 0.1583 - val_accuracy: 0.0500 Epoch 97/400 3/3 [==============================] - 0s 27ms/step - loss: 0.1974 - accuracy: 0.0000e+00 - val_loss: 0.1577 - val_accuracy: 0.0500 Epoch 98/400 3/3 [==============================] - 0s 27ms/step - loss: 0.1959 - accuracy: 0.0000e+00 - val_loss: 0.1571 - val_accuracy: 0.0500 Epoch 99/400 3/3 [==============================] - 0s 22ms/step - loss: 0.1943 - accuracy: 0.0000e+00 - val_loss: 0.1565 - val_accuracy: 0.0500 Epoch 100/400 3/3 [==============================] - 0s 24ms/step - loss: 0.1928 - accuracy: 0.0000e+00 - val_loss: 0.1558 - val_accuracy: 0.0500 Epoch 101/400 3/3 [==============================] - 0s 36ms/step - loss: 0.1913 - accuracy: 0.0000e+00 - val_loss: 0.1552 - val_accuracy: 0.0500 Epoch 102/400 3/3 [==============================] - 0s 49ms/step - loss: 0.1899 - accuracy: 0.0000e+00 - val_loss: 0.1544 - val_accuracy: 0.0500 Epoch 103/400 3/3 [==============================] - 0s 56ms/step - loss: 0.1883 - accuracy: 0.0000e+00 - val_loss: 0.1537 - val_accuracy: 0.0500 Epoch 104/400 3/3 [==============================] - 0s 52ms/step - loss: 0.1867 - accuracy: 0.0000e+00 - val_loss: 0.1529 - val_accuracy: 0.0500 Epoch 105/400 3/3 [==============================] - 0s 46ms/step - loss: 0.1852 - accuracy: 0.0000e+00 - val_loss: 0.1521 - val_accuracy: 0.0500 Epoch 106/400 3/3 [==============================] - 0s 37ms/step - loss: 0.1837 - accuracy: 0.0000e+00 - val_loss: 0.1512 - val_accuracy: 0.0500 Epoch 107/400 3/3 [==============================] - 0s 40ms/step - loss: 0.1822 - accuracy: 0.0000e+00 - val_loss: 0.1503 - val_accuracy: 0.0500 Epoch 108/400 3/3 [==============================] - 0s 47ms/step - loss: 0.1806 - accuracy: 0.0000e+00 - val_loss: 0.1494 - val_accuracy: 0.0500 Epoch 109/400 3/3 [==============================] - 0s 37ms/step - loss: 0.1790 - accuracy: 0.0000e+00 - val_loss: 0.1485 - val_accuracy: 0.0500 Epoch 110/400 3/3 [==============================] - 0s 29ms/step - loss: 0.1775 - accuracy: 0.0000e+00 - val_loss: 0.1476 - val_accuracy: 0.0500 Epoch 111/400 3/3 [==============================] - 0s 25ms/step - loss: 0.1759 - accuracy: 0.0000e+00 - val_loss: 0.1466 - val_accuracy: 0.0500 Epoch 112/400 3/3 [==============================] - 0s 27ms/step - loss: 0.1744 - accuracy: 0.0000e+00 - val_loss: 0.1457 - val_accuracy: 0.0500 Epoch 113/400 3/3 [==============================] - 0s 27ms/step - loss: 0.1727 - accuracy: 0.0000e+00 - val_loss: 0.1447 - val_accuracy: 0.0500 Epoch 114/400 3/3 [==============================] - 0s 28ms/step - loss: 0.1711 - accuracy: 0.0000e+00 - val_loss: 0.1434 - val_accuracy: 0.0500 Epoch 115/400 3/3 [==============================] - 0s 47ms/step - loss: 0.1695 - accuracy: 0.0000e+00 - val_loss: 0.1421 - val_accuracy: 0.0500 Epoch 116/400 3/3 [==============================] - 0s 44ms/step - loss: 0.1679 - accuracy: 0.0000e+00 - val_loss: 0.1406 - val_accuracy: 0.0500 Epoch 117/400 3/3 [==============================] - 0s 46ms/step - loss: 0.1662 - accuracy: 0.0000e+00 - val_loss: 0.1391 - val_accuracy: 0.0500 Epoch 118/400 3/3 [==============================] - 0s 45ms/step - loss: 0.1646 - accuracy: 0.0000e+00 - val_loss: 0.1373 - val_accuracy: 0.0500 Epoch 119/400 3/3 [==============================] - 0s 49ms/step - loss: 0.1628 - accuracy: 0.0000e+00 - val_loss: 0.1358 - val_accuracy: 0.0500 Epoch 120/400 3/3 [==============================] - 0s 51ms/step - loss: 0.1612 - accuracy: 0.0000e+00 - val_loss: 0.1339 - val_accuracy: 0.0500 Epoch 121/400 3/3 [==============================] - 0s 52ms/step - loss: 0.1595 - accuracy: 0.0000e+00 - val_loss: 0.1321 - val_accuracy: 0.0500 Epoch 122/400 3/3 [==============================] - 0s 52ms/step - loss: 0.1577 - accuracy: 0.0000e+00 - val_loss: 0.1304 - val_accuracy: 0.0500 Epoch 123/400 3/3 [==============================] - 0s 33ms/step - loss: 0.1560 - accuracy: 0.0000e+00 - val_loss: 0.1285 - val_accuracy: 0.0500 Epoch 124/400 3/3 [==============================] - 0s 22ms/step - loss: 0.1542 - accuracy: 0.0000e+00 - val_loss: 0.1266 - val_accuracy: 0.0500 Epoch 125/400 3/3 [==============================] - 0s 21ms/step - loss: 0.1525 - accuracy: 0.0000e+00 - val_loss: 0.1245 - val_accuracy: 0.0500 Epoch 126/400 3/3 [==============================] - 0s 45ms/step - loss: 0.1507 - accuracy: 0.0000e+00 - val_loss: 0.1227 - val_accuracy: 0.0500 Epoch 127/400 3/3 [==============================] - 0s 48ms/step - loss: 0.1489 - accuracy: 0.0000e+00 - val_loss: 0.1205 - val_accuracy: 0.0500 Epoch 128/400 3/3 [==============================] - 0s 42ms/step - loss: 0.1470 - accuracy: 0.0000e+00 - val_loss: 0.1186 - val_accuracy: 0.0500 Epoch 129/400 3/3 [==============================] - 0s 18ms/step - loss: 0.1452 - accuracy: 0.0000e+00 - val_loss: 0.1165 - val_accuracy: 0.0500 Epoch 130/400 3/3 [==============================] - 0s 14ms/step - loss: 0.1434 - accuracy: 0.0000e+00 - val_loss: 0.1144 - val_accuracy: 0.0500 Epoch 131/400 3/3 [==============================] - 0s 16ms/step - loss: 0.1416 - accuracy: 0.0000e+00 - val_loss: 0.1124 - val_accuracy: 0.0500 Epoch 132/400 3/3 [==============================] - 0s 14ms/step - loss: 0.1396 - accuracy: 0.0000e+00 - val_loss: 0.1106 - val_accuracy: 0.0500 Epoch 133/400 3/3 [==============================] - 0s 14ms/step - loss: 0.1378 - accuracy: 0.0000e+00 - val_loss: 0.1085 - val_accuracy: 0.0500 Epoch 134/400 3/3 [==============================] - 0s 15ms/step - loss: 0.1358 - accuracy: 0.0000e+00 - val_loss: 0.1066 - val_accuracy: 0.0500 Epoch 135/400 3/3 [==============================] - 0s 15ms/step - loss: 0.1339 - accuracy: 0.0000e+00 - val_loss: 0.1044 - val_accuracy: 0.0500 Epoch 136/400 3/3 [==============================] - 0s 15ms/step - loss: 0.1319 - accuracy: 0.0000e+00 - val_loss: 0.1023 - val_accuracy: 0.0500 Epoch 137/400 3/3 [==============================] - 0s 17ms/step - loss: 0.1300 - accuracy: 0.0000e+00 - val_loss: 0.1002 - val_accuracy: 0.0500 Epoch 138/400 3/3 [==============================] - 0s 35ms/step - loss: 0.1279 - accuracy: 0.0000e+00 - val_loss: 0.0982 - val_accuracy: 0.0500 Epoch 139/400 3/3 [==============================] - 0s 52ms/step - loss: 0.1259 - accuracy: 0.0000e+00 - val_loss: 0.0961 - val_accuracy: 0.0500 Epoch 140/400 3/3 [==============================] - 0s 46ms/step - loss: 0.1238 - accuracy: 0.0000e+00 - val_loss: 0.0941 - val_accuracy: 0.0500 Epoch 141/400 3/3 [==============================] - 0s 34ms/step - loss: 0.1217 - accuracy: 0.0000e+00 - val_loss: 0.0921 - val_accuracy: 0.0500 Epoch 142/400 3/3 [==============================] - 0s 27ms/step - loss: 0.1196 - accuracy: 0.0000e+00 - val_loss: 0.0899 - val_accuracy: 0.0500 Epoch 143/400 3/3 [==============================] - 0s 25ms/step - loss: 0.1174 - accuracy: 0.0000e+00 - val_loss: 0.0875 - val_accuracy: 0.0500 Epoch 144/400 3/3 [==============================] - 0s 25ms/step - loss: 0.1153 - accuracy: 0.0000e+00 - val_loss: 0.0851 - val_accuracy: 0.0500 Epoch 145/400 3/3 [==============================] - 0s 31ms/step - loss: 0.1130 - accuracy: 0.0000e+00 - val_loss: 0.0829 - val_accuracy: 0.0500 Epoch 146/400 3/3 [==============================] - 0s 50ms/step - loss: 0.1108 - accuracy: 0.0000e+00 - val_loss: 0.0808 - val_accuracy: 0.0500 Epoch 147/400 3/3 [==============================] - 0s 51ms/step - loss: 0.1085 - accuracy: 0.0000e+00 - val_loss: 0.0786 - val_accuracy: 0.0500 Epoch 148/400 3/3 [==============================] - 0s 46ms/step - loss: 0.1062 - accuracy: 0.0000e+00 - val_loss: 0.0763 - val_accuracy: 0.0500 Epoch 149/400 3/3 [==============================] - 0s 28ms/step - loss: 0.1038 - accuracy: 0.0000e+00 - val_loss: 0.0739 - val_accuracy: 0.0500 Epoch 150/400 3/3 [==============================] - 0s 27ms/step - loss: 0.1014 - accuracy: 0.0000e+00 - val_loss: 0.0712 - val_accuracy: 0.0500 Epoch 151/400 3/3 [==============================] - 0s 51ms/step - loss: 0.0990 - accuracy: 0.0000e+00 - val_loss: 0.0686 - val_accuracy: 0.0500 Epoch 152/400 3/3 [==============================] - 0s 67ms/step - loss: 0.0966 - accuracy: 0.0000e+00 - val_loss: 0.0660 - val_accuracy: 0.0500 Epoch 153/400 3/3 [==============================] - 0s 32ms/step - loss: 0.0941 - accuracy: 0.0000e+00 - val_loss: 0.0635 - val_accuracy: 0.0500 Epoch 154/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0916 - accuracy: 0.0000e+00 - val_loss: 0.0610 - val_accuracy: 0.0500 Epoch 155/400 3/3 [==============================] - 0s 32ms/step - loss: 0.0892 - accuracy: 0.0000e+00 - val_loss: 0.0595 - val_accuracy: 0.0500 Epoch 156/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0870 - accuracy: 0.0000e+00 - val_loss: 0.0585 - val_accuracy: 0.0500 Epoch 157/400 3/3 [==============================] - 0s 51ms/step - loss: 0.0849 - accuracy: 0.0000e+00 - val_loss: 0.0578 - val_accuracy: 0.0500 Epoch 158/400 3/3 [==============================] - 0s 62ms/step - loss: 0.0829 - accuracy: 0.0000e+00 - val_loss: 0.0570 - val_accuracy: 0.0500 Epoch 159/400 3/3 [==============================] - 0s 56ms/step - loss: 0.0814 - accuracy: 0.0000e+00 - val_loss: 0.0563 - val_accuracy: 0.0500 Epoch 160/400 3/3 [==============================] - 0s 46ms/step - loss: 0.0799 - accuracy: 0.0000e+00 - val_loss: 0.0556 - val_accuracy: 0.0500 Epoch 161/400 3/3 [==============================] - 0s 52ms/step - loss: 0.0787 - accuracy: 0.0000e+00 - val_loss: 0.0553 - val_accuracy: 0.0500 Epoch 162/400 3/3 [==============================] - 0s 65ms/step - loss: 0.0774 - accuracy: 0.0000e+00 - val_loss: 0.0551 - val_accuracy: 0.0500 Epoch 163/400 3/3 [==============================] - 0s 58ms/step - loss: 0.0762 - accuracy: 0.0000e+00 - val_loss: 0.0550 - val_accuracy: 0.0500 Epoch 164/400 3/3 [==============================] - 0s 60ms/step - loss: 0.0752 - accuracy: 0.0000e+00 - val_loss: 0.0550 - val_accuracy: 0.0500 Epoch 165/400 3/3 [==============================] - 0s 37ms/step - loss: 0.0742 - accuracy: 0.0000e+00 - val_loss: 0.0552 - val_accuracy: 0.0500 Epoch 166/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0733 - accuracy: 0.0000e+00 - val_loss: 0.0554 - val_accuracy: 0.0500 Epoch 167/400 3/3 [==============================] - 0s 26ms/step - loss: 0.0723 - accuracy: 0.0000e+00 - val_loss: 0.0555 - val_accuracy: 0.0500 Epoch 168/400 3/3 [==============================] - 0s 35ms/step - loss: 0.0715 - accuracy: 0.0000e+00 - val_loss: 0.0557 - val_accuracy: 0.0500 Epoch 169/400 3/3 [==============================] - 0s 34ms/step - loss: 0.0708 - accuracy: 0.0000e+00 - val_loss: 0.0558 - val_accuracy: 0.0500 Epoch 170/400 3/3 [==============================] - 0s 31ms/step - loss: 0.0701 - accuracy: 0.0000e+00 - val_loss: 0.0558 - val_accuracy: 0.0500 Epoch 171/400 3/3 [==============================] - 0s 35ms/step - loss: 0.0694 - accuracy: 0.0000e+00 - val_loss: 0.0558 - val_accuracy: 0.0500 Epoch 172/400 3/3 [==============================] - 0s 39ms/step - loss: 0.0688 - accuracy: 0.0000e+00 - val_loss: 0.0558 - val_accuracy: 0.0500 Epoch 173/400 3/3 [==============================] - 0s 35ms/step - loss: 0.0682 - accuracy: 0.0000e+00 - val_loss: 0.0558 - val_accuracy: 0.0500 Epoch 174/400 3/3 [==============================] - 0s 45ms/step - loss: 0.0676 - accuracy: 0.0000e+00 - val_loss: 0.0558 - val_accuracy: 0.0500 Epoch 175/400 3/3 [==============================] - 0s 39ms/step - loss: 0.0671 - accuracy: 0.0000e+00 - val_loss: 0.0557 - val_accuracy: 0.0500 Epoch 176/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0666 - accuracy: 0.0000e+00 - val_loss: 0.0557 - val_accuracy: 0.0500 Epoch 177/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0661 - accuracy: 0.0000e+00 - val_loss: 0.0556 - val_accuracy: 0.0500 Epoch 178/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0657 - accuracy: 0.0000e+00 - val_loss: 0.0556 - val_accuracy: 0.0500 Epoch 179/400 3/3 [==============================] - 0s 33ms/step - loss: 0.0652 - accuracy: 0.0000e+00 - val_loss: 0.0555 - val_accuracy: 0.0500 Epoch 180/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0648 - accuracy: 0.0000e+00 - val_loss: 0.0554 - val_accuracy: 0.0500 Epoch 181/400 3/3 [==============================] - 0s 23ms/step - loss: 0.0644 - accuracy: 0.0000e+00 - val_loss: 0.0554 - val_accuracy: 0.0500 Epoch 182/400 3/3 [==============================] - 0s 21ms/step - loss: 0.0640 - accuracy: 0.0000e+00 - val_loss: 0.0553 - val_accuracy: 0.0500 Epoch 183/400 3/3 [==============================] - 0s 26ms/step - loss: 0.0637 - accuracy: 0.0000e+00 - val_loss: 0.0551 - val_accuracy: 0.0500 Epoch 184/400 3/3 [==============================] - 0s 51ms/step - loss: 0.0633 - accuracy: 0.0000e+00 - val_loss: 0.0549 - val_accuracy: 0.0500 Epoch 185/400 3/3 [==============================] - 0s 46ms/step - loss: 0.0629 - accuracy: 0.0000e+00 - val_loss: 0.0547 - val_accuracy: 0.0500 Epoch 186/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0625 - accuracy: 0.0000e+00 - val_loss: 0.0545 - val_accuracy: 0.0500 Epoch 187/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0622 - accuracy: 0.0000e+00 - val_loss: 0.0543 - val_accuracy: 0.0500 Epoch 188/400 3/3 [==============================] - 0s 41ms/step - loss: 0.0618 - accuracy: 0.0000e+00 - val_loss: 0.0543 - val_accuracy: 0.0500 Epoch 189/400 3/3 [==============================] - 0s 41ms/step - loss: 0.0615 - accuracy: 0.0000e+00 - val_loss: 0.0542 - val_accuracy: 0.0500 Epoch 190/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0611 - accuracy: 0.0000e+00 - val_loss: 0.0542 - val_accuracy: 0.0500 Epoch 191/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0609 - accuracy: 0.0000e+00 - val_loss: 0.0541 - val_accuracy: 0.0500 Epoch 192/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0605 - accuracy: 0.0000e+00 - val_loss: 0.0538 - val_accuracy: 0.0500 Epoch 193/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0601 - accuracy: 0.0000e+00 - val_loss: 0.0536 - val_accuracy: 0.0500 Epoch 194/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0598 - accuracy: 0.0000e+00 - val_loss: 0.0536 - val_accuracy: 0.0500 Epoch 195/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0595 - accuracy: 0.0000e+00 - val_loss: 0.0535 - val_accuracy: 0.0500 Epoch 196/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0592 - accuracy: 0.0000e+00 - val_loss: 0.0534 - val_accuracy: 0.0500 Epoch 197/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0589 - accuracy: 0.0000e+00 - val_loss: 0.0533 - val_accuracy: 0.0500 Epoch 198/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0586 - accuracy: 0.0000e+00 - val_loss: 0.0532 - val_accuracy: 0.0500 Epoch 199/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0583 - accuracy: 0.0000e+00 - val_loss: 0.0531 - val_accuracy: 0.0500 Epoch 200/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0581 - accuracy: 0.0000e+00 - val_loss: 0.0530 - val_accuracy: 0.0500 Epoch 201/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0579 - accuracy: 0.0000e+00 - val_loss: 0.0528 - val_accuracy: 0.0500 Epoch 202/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0575 - accuracy: 0.0000e+00 - val_loss: 0.0526 - val_accuracy: 0.0500 Epoch 203/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0572 - accuracy: 0.0000e+00 - val_loss: 0.0525 - val_accuracy: 0.0500 Epoch 204/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0570 - accuracy: 0.0000e+00 - val_loss: 0.0525 - val_accuracy: 0.0500 Epoch 205/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0567 - accuracy: 0.0000e+00 - val_loss: 0.0524 - val_accuracy: 0.0500 Epoch 206/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0565 - accuracy: 0.0000e+00 - val_loss: 0.0523 - val_accuracy: 0.0500 Epoch 207/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0562 - accuracy: 0.0000e+00 - val_loss: 0.0522 - val_accuracy: 0.0500 Epoch 208/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0561 - accuracy: 0.0000e+00 - val_loss: 0.0522 - val_accuracy: 0.0500 Epoch 209/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0558 - accuracy: 0.0000e+00 - val_loss: 0.0520 - val_accuracy: 0.0500 Epoch 210/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0555 - accuracy: 0.0000e+00 - val_loss: 0.0518 - val_accuracy: 0.0500 Epoch 211/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0553 - accuracy: 0.0000e+00 - val_loss: 0.0517 - val_accuracy: 0.0500 Epoch 212/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0551 - accuracy: 0.0000e+00 - val_loss: 0.0514 - val_accuracy: 0.0500 Epoch 213/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0549 - accuracy: 0.0000e+00 - val_loss: 0.0512 - val_accuracy: 0.0500 Epoch 214/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0547 - accuracy: 0.0000e+00 - val_loss: 0.0509 - val_accuracy: 0.0500 Epoch 215/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0545 - accuracy: 0.0000e+00 - val_loss: 0.0507 - val_accuracy: 0.0500 Epoch 216/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0541 - accuracy: 0.0000e+00 - val_loss: 0.0506 - val_accuracy: 0.0500 Epoch 217/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0540 - accuracy: 0.0000e+00 - val_loss: 0.0505 - val_accuracy: 0.0500 Epoch 218/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0538 - accuracy: 0.0000e+00 - val_loss: 0.0503 - val_accuracy: 0.0500 Epoch 219/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0536 - accuracy: 0.0000e+00 - val_loss: 0.0502 - val_accuracy: 0.0500 Epoch 220/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0533 - accuracy: 0.0000e+00 - val_loss: 0.0500 - val_accuracy: 0.0500 Epoch 221/400 3/3 [==============================] - 0s 20ms/step - loss: 0.0531 - accuracy: 0.0000e+00 - val_loss: 0.0498 - val_accuracy: 0.0500 Epoch 222/400 3/3 [==============================] - 0s 22ms/step - loss: 0.0530 - accuracy: 0.0000e+00 - val_loss: 0.0496 - val_accuracy: 0.0500 Epoch 223/400 3/3 [==============================] - 0s 20ms/step - loss: 0.0527 - accuracy: 0.0000e+00 - val_loss: 0.0495 - val_accuracy: 0.0500 Epoch 224/400 3/3 [==============================] - 0s 20ms/step - loss: 0.0526 - accuracy: 0.0000e+00 - val_loss: 0.0494 - val_accuracy: 0.0500 Epoch 225/400 3/3 [==============================] - 0s 20ms/step - loss: 0.0523 - accuracy: 0.0000e+00 - val_loss: 0.0494 - val_accuracy: 0.0500 Epoch 226/400 3/3 [==============================] - 0s 18ms/step - loss: 0.0521 - accuracy: 0.0000e+00 - val_loss: 0.0494 - val_accuracy: 0.0500 Epoch 227/400 3/3 [==============================] - 0s 18ms/step - loss: 0.0519 - accuracy: 0.0000e+00 - val_loss: 0.0493 - val_accuracy: 0.0500 Epoch 228/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0518 - accuracy: 0.0000e+00 - val_loss: 0.0492 - val_accuracy: 0.0500 Epoch 229/400 3/3 [==============================] - 0s 21ms/step - loss: 0.0516 - accuracy: 0.0000e+00 - val_loss: 0.0490 - val_accuracy: 0.0500 Epoch 230/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0514 - accuracy: 0.0000e+00 - val_loss: 0.0488 - val_accuracy: 0.0500 Epoch 231/400 3/3 [==============================] - 0s 37ms/step - loss: 0.0512 - accuracy: 0.0000e+00 - val_loss: 0.0486 - val_accuracy: 0.0500 Epoch 232/400 3/3 [==============================] - 0s 36ms/step - loss: 0.0510 - accuracy: 0.0000e+00 - val_loss: 0.0484 - val_accuracy: 0.0500 Epoch 233/400 3/3 [==============================] - 0s 19ms/step - loss: 0.0508 - accuracy: 0.0000e+00 - val_loss: 0.0483 - val_accuracy: 0.0500 Epoch 234/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0507 - accuracy: 0.0000e+00 - val_loss: 0.0481 - val_accuracy: 0.0500 Epoch 235/400 3/3 [==============================] - 0s 41ms/step - loss: 0.0505 - accuracy: 0.0000e+00 - val_loss: 0.0480 - val_accuracy: 0.0500 Epoch 236/400 3/3 [==============================] - 0s 43ms/step - loss: 0.0504 - accuracy: 0.0000e+00 - val_loss: 0.0480 - val_accuracy: 0.0500 Epoch 237/400 3/3 [==============================] - 0s 35ms/step - loss: 0.0502 - accuracy: 0.0000e+00 - val_loss: 0.0478 - val_accuracy: 0.0500 Epoch 238/400 3/3 [==============================] - 0s 36ms/step - loss: 0.0499 - accuracy: 0.0000e+00 - val_loss: 0.0477 - val_accuracy: 0.0500 Epoch 239/400 3/3 [==============================] - 0s 36ms/step - loss: 0.0498 - accuracy: 0.0000e+00 - val_loss: 0.0477 - val_accuracy: 0.0500 Epoch 240/400 3/3 [==============================] - 0s 33ms/step - loss: 0.0496 - accuracy: 0.0000e+00 - val_loss: 0.0475 - val_accuracy: 0.0500 Epoch 241/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0494 - accuracy: 0.0000e+00 - val_loss: 0.0474 - val_accuracy: 0.0500 Epoch 242/400 3/3 [==============================] - 0s 22ms/step - loss: 0.0493 - accuracy: 0.0000e+00 - val_loss: 0.0473 - val_accuracy: 0.0500 Epoch 243/400 3/3 [==============================] - 0s 21ms/step - loss: 0.0492 - accuracy: 0.0000e+00 - val_loss: 0.0472 - val_accuracy: 0.0500 Epoch 244/400 3/3 [==============================] - 0s 23ms/step - loss: 0.0489 - accuracy: 0.0000e+00 - val_loss: 0.0472 - val_accuracy: 0.0500 Epoch 245/400 3/3 [==============================] - 0s 32ms/step - loss: 0.0488 - accuracy: 0.0000e+00 - val_loss: 0.0472 - val_accuracy: 0.0500 Epoch 246/400 3/3 [==============================] - 0s 33ms/step - loss: 0.0487 - accuracy: 0.0000e+00 - val_loss: 0.0473 - val_accuracy: 0.0500 Epoch 247/400 3/3 [==============================] - 0s 33ms/step - loss: 0.0485 - accuracy: 0.0000e+00 - val_loss: 0.0472 - val_accuracy: 0.0500 Epoch 248/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0483 - accuracy: 0.0000e+00 - val_loss: 0.0471 - val_accuracy: 0.0500 Epoch 249/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0482 - accuracy: 0.0000e+00 - val_loss: 0.0470 - val_accuracy: 0.0500 Epoch 250/400 3/3 [==============================] - 0s 13ms/step - loss: 0.0481 - accuracy: 0.0000e+00 - val_loss: 0.0470 - val_accuracy: 0.0500 Epoch 251/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0479 - accuracy: 0.0000e+00 - val_loss: 0.0469 - val_accuracy: 0.0500 Epoch 252/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0478 - accuracy: 0.0000e+00 - val_loss: 0.0468 - val_accuracy: 0.0500 Epoch 253/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0477 - accuracy: 0.0000e+00 - val_loss: 0.0467 - val_accuracy: 0.0500 Epoch 254/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0475 - accuracy: 0.0000e+00 - val_loss: 0.0465 - val_accuracy: 0.0500 Epoch 255/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0474 - accuracy: 0.0000e+00 - val_loss: 0.0463 - val_accuracy: 0.0500 Epoch 256/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0472 - accuracy: 0.0000e+00 - val_loss: 0.0462 - val_accuracy: 0.0500 Epoch 257/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0471 - accuracy: 0.0000e+00 - val_loss: 0.0460 - val_accuracy: 0.0500 Epoch 258/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0470 - accuracy: 0.0000e+00 - val_loss: 0.0460 - val_accuracy: 0.0500 Epoch 259/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0468 - accuracy: 0.0000e+00 - val_loss: 0.0460 - val_accuracy: 0.0500 Epoch 260/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0467 - accuracy: 0.0000e+00 - val_loss: 0.0460 - val_accuracy: 0.0500 Epoch 261/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0466 - accuracy: 0.0000e+00 - val_loss: 0.0460 - val_accuracy: 0.0500 Epoch 262/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0466 - accuracy: 0.0000e+00 - val_loss: 0.0459 - val_accuracy: 0.0500 Epoch 263/400 3/3 [==============================] - 0s 22ms/step - loss: 0.0465 - accuracy: 0.0000e+00 - val_loss: 0.0457 - val_accuracy: 0.0500 Epoch 264/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0463 - accuracy: 0.0000e+00 - val_loss: 0.0455 - val_accuracy: 0.0500 Epoch 265/400 3/3 [==============================] - 0s 39ms/step - loss: 0.0462 - accuracy: 0.0000e+00 - val_loss: 0.0453 - val_accuracy: 0.0500 Epoch 266/400 3/3 [==============================] - 0s 26ms/step - loss: 0.0461 - accuracy: 0.0000e+00 - val_loss: 0.0451 - val_accuracy: 0.0500 Epoch 267/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0460 - accuracy: 0.0000e+00 - val_loss: 0.0449 - val_accuracy: 0.0500 Epoch 268/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0458 - accuracy: 0.0000e+00 - val_loss: 0.0449 - val_accuracy: 0.0500 Epoch 269/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0457 - accuracy: 0.0000e+00 - val_loss: 0.0449 - val_accuracy: 0.0500 Epoch 270/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0455 - accuracy: 0.0000e+00 - val_loss: 0.0447 - val_accuracy: 0.0500 Epoch 271/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0454 - accuracy: 0.0000e+00 - val_loss: 0.0445 - val_accuracy: 0.0500 Epoch 272/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0454 - accuracy: 0.0000e+00 - val_loss: 0.0444 - val_accuracy: 0.0500 Epoch 273/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0453 - accuracy: 0.0000e+00 - val_loss: 0.0443 - val_accuracy: 0.0500 Epoch 274/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0452 - accuracy: 0.0000e+00 - val_loss: 0.0442 - val_accuracy: 0.0500 Epoch 275/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0450 - accuracy: 0.0000e+00 - val_loss: 0.0441 - val_accuracy: 0.0500 Epoch 276/400 3/3 [==============================] - 0s 19ms/step - loss: 0.0449 - accuracy: 0.0000e+00 - val_loss: 0.0440 - val_accuracy: 0.0500 Epoch 277/400 3/3 [==============================] - 0s 20ms/step - loss: 0.0449 - accuracy: 0.0000e+00 - val_loss: 0.0439 - val_accuracy: 0.0500 Epoch 278/400 3/3 [==============================] - 0s 21ms/step - loss: 0.0447 - accuracy: 0.0000e+00 - val_loss: 0.0438 - val_accuracy: 0.0500 Epoch 279/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0446 - accuracy: 0.0000e+00 - val_loss: 0.0437 - val_accuracy: 0.0500 Epoch 280/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0445 - accuracy: 0.0000e+00 - val_loss: 0.0436 - val_accuracy: 0.0500 Epoch 281/400 3/3 [==============================] - 0s 19ms/step - loss: 0.0444 - accuracy: 0.0000e+00 - val_loss: 0.0436 - val_accuracy: 0.0500 Epoch 282/400 3/3 [==============================] - 0s 20ms/step - loss: 0.0443 - accuracy: 0.0000e+00 - val_loss: 0.0436 - val_accuracy: 0.0500 Epoch 283/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0442 - accuracy: 0.0000e+00 - val_loss: 0.0435 - val_accuracy: 0.0500 Epoch 284/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0441 - accuracy: 0.0000e+00 - val_loss: 0.0434 - val_accuracy: 0.0500 Epoch 285/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0440 - accuracy: 0.0000e+00 - val_loss: 0.0434 - val_accuracy: 0.0500 Epoch 286/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0440 - accuracy: 0.0000e+00 - val_loss: 0.0433 - val_accuracy: 0.0500 Epoch 287/400 3/3 [==============================] - 0s 35ms/step - loss: 0.0438 - accuracy: 0.0000e+00 - val_loss: 0.0433 - val_accuracy: 0.0500 Epoch 288/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0438 - accuracy: 0.0000e+00 - val_loss: 0.0432 - val_accuracy: 0.0500 Epoch 289/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0436 - accuracy: 0.0000e+00 - val_loss: 0.0431 - val_accuracy: 0.0500 Epoch 290/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0435 - accuracy: 0.0000e+00 - val_loss: 0.0430 - val_accuracy: 0.0500 Epoch 291/400 3/3 [==============================] - 0s 18ms/step - loss: 0.0434 - accuracy: 0.0000e+00 - val_loss: 0.0429 - val_accuracy: 0.0500 Epoch 292/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0433 - accuracy: 0.0000e+00 - val_loss: 0.0429 - val_accuracy: 0.0500 Epoch 293/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0433 - accuracy: 0.0000e+00 - val_loss: 0.0429 - val_accuracy: 0.0500 Epoch 294/400 3/3 [==============================] - 0s 18ms/step - loss: 0.0432 - accuracy: 0.0000e+00 - val_loss: 0.0429 - val_accuracy: 0.0500 Epoch 295/400 3/3 [==============================] - 0s 19ms/step - loss: 0.0431 - accuracy: 0.0000e+00 - val_loss: 0.0426 - val_accuracy: 0.0500 Epoch 296/400 3/3 [==============================] - 0s 20ms/step - loss: 0.0430 - accuracy: 0.0000e+00 - val_loss: 0.0424 - val_accuracy: 0.0500 Epoch 297/400 3/3 [==============================] - 0s 23ms/step - loss: 0.0429 - accuracy: 0.0000e+00 - val_loss: 0.0424 - val_accuracy: 0.0500 Epoch 298/400 3/3 [==============================] - 0s 18ms/step - loss: 0.0428 - accuracy: 0.0000e+00 - val_loss: 0.0423 - val_accuracy: 0.0500 Epoch 299/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0427 - accuracy: 0.0000e+00 - val_loss: 0.0423 - val_accuracy: 0.0500 Epoch 300/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0426 - accuracy: 0.0000e+00 - val_loss: 0.0422 - val_accuracy: 0.0500 Epoch 301/400 3/3 [==============================] - 0s 16ms/step - loss: 0.0425 - accuracy: 0.0000e+00 - val_loss: 0.0421 - val_accuracy: 0.0500 Epoch 302/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0424 - accuracy: 0.0000e+00 - val_loss: 0.0422 - val_accuracy: 0.0500 Epoch 303/400 3/3 [==============================] - 0s 14ms/step - loss: 0.0424 - accuracy: 0.0000e+00 - val_loss: 0.0423 - val_accuracy: 0.0500 Epoch 304/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0423 - accuracy: 0.0000e+00 - val_loss: 0.0422 - val_accuracy: 0.0500 Epoch 305/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0422 - accuracy: 0.0000e+00 - val_loss: 0.0421 - val_accuracy: 0.0500 Epoch 306/400 3/3 [==============================] - 0s 18ms/step - loss: 0.0422 - accuracy: 0.0000e+00 - val_loss: 0.0418 - val_accuracy: 0.0500 Epoch 307/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0421 - accuracy: 0.0000e+00 - val_loss: 0.0417 - val_accuracy: 0.0500 Epoch 308/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0419 - accuracy: 0.0000e+00 - val_loss: 0.0417 - val_accuracy: 0.0500 Epoch 309/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0419 - accuracy: 0.0000e+00 - val_loss: 0.0417 - val_accuracy: 0.0500 Epoch 310/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0418 - accuracy: 0.0000e+00 - val_loss: 0.0416 - val_accuracy: 0.0500 Epoch 311/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0417 - accuracy: 0.0000e+00 - val_loss: 0.0414 - val_accuracy: 0.0500 Epoch 312/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0417 - accuracy: 0.0000e+00 - val_loss: 0.0412 - val_accuracy: 0.0500 Epoch 313/400 3/3 [==============================] - 0s 15ms/step - loss: 0.0416 - accuracy: 0.0000e+00 - val_loss: 0.0412 - val_accuracy: 0.0500 Epoch 314/400 3/3 [==============================] - 0s 17ms/step - loss: 0.0416 - accuracy: 0.0000e+00 - val_loss: 0.0412 - val_accuracy: 0.0500 Epoch 315/400 3/3 [==============================] - 0s 22ms/step - loss: 0.0414 - accuracy: 0.0000e+00 - val_loss: 0.0410 - val_accuracy: 0.0500 Epoch 316/400 3/3 [==============================] - 0s 28ms/step - loss: 0.0413 - accuracy: 0.0000e+00 - val_loss: 0.0410 - val_accuracy: 0.0500 Epoch 317/400 3/3 [==============================] - 0s 46ms/step - loss: 0.0413 - accuracy: 0.0000e+00 - val_loss: 0.0410 - val_accuracy: 0.0500 Epoch 318/400 3/3 [==============================] - 0s 92ms/step - loss: 0.0411 - accuracy: 0.0000e+00 - val_loss: 0.0410 - val_accuracy: 0.0500 Epoch 319/400 3/3 [==============================] - 0s 31ms/step - loss: 0.0411 - accuracy: 0.0000e+00 - val_loss: 0.0410 - val_accuracy: 0.0500 Epoch 320/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0410 - accuracy: 0.0000e+00 - val_loss: 0.0407 - val_accuracy: 0.0500 Epoch 321/400 3/3 [==============================] - 0s 35ms/step - loss: 0.0410 - accuracy: 0.0000e+00 - val_loss: 0.0407 - val_accuracy: 0.0500 Epoch 322/400 3/3 [==============================] - 0s 46ms/step - loss: 0.0409 - accuracy: 0.0000e+00 - val_loss: 0.0407 - val_accuracy: 0.0500 Epoch 323/400 3/3 [==============================] - 0s 35ms/step - loss: 0.0408 - accuracy: 0.0000e+00 - val_loss: 0.0406 - val_accuracy: 0.0500 Epoch 324/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0407 - accuracy: 0.0000e+00 - val_loss: 0.0405 - val_accuracy: 0.0500 Epoch 325/400 3/3 [==============================] - 0s 23ms/step - loss: 0.0407 - accuracy: 0.0000e+00 - val_loss: 0.0404 - val_accuracy: 0.0500 Epoch 326/400 3/3 [==============================] - 0s 26ms/step - loss: 0.0406 - accuracy: 0.0000e+00 - val_loss: 0.0404 - val_accuracy: 0.0500 Epoch 327/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0405 - accuracy: 0.0000e+00 - val_loss: 0.0404 - val_accuracy: 0.0500 Epoch 328/400 3/3 [==============================] - 0s 32ms/step - loss: 0.0406 - accuracy: 0.0000e+00 - val_loss: 0.0404 - val_accuracy: 0.0500 Epoch 329/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0404 - accuracy: 0.0000e+00 - val_loss: 0.0402 - val_accuracy: 0.0500 Epoch 330/400 3/3 [==============================] - 0s 28ms/step - loss: 0.0403 - accuracy: 0.0000e+00 - val_loss: 0.0401 - val_accuracy: 0.0500 Epoch 331/400 3/3 [==============================] - 0s 31ms/step - loss: 0.0402 - accuracy: 0.0000e+00 - val_loss: 0.0402 - val_accuracy: 0.0500 Epoch 332/400 3/3 [==============================] - 0s 30ms/step - loss: 0.0402 - accuracy: 0.0000e+00 - val_loss: 0.0402 - val_accuracy: 0.0500 Epoch 333/400 3/3 [==============================] - 0s 28ms/step - loss: 0.0401 - accuracy: 0.0000e+00 - val_loss: 0.0405 - val_accuracy: 0.0500 Epoch 334/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0401 - accuracy: 0.0000e+00 - val_loss: 0.0408 - val_accuracy: 0.0500 Epoch 335/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0401 - accuracy: 0.0000e+00 - val_loss: 0.0407 - val_accuracy: 0.0500 Epoch 336/400 3/3 [==============================] - 0s 37ms/step - loss: 0.0400 - accuracy: 0.0000e+00 - val_loss: 0.0407 - val_accuracy: 0.0500 Epoch 337/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0399 - accuracy: 0.0000e+00 - val_loss: 0.0405 - val_accuracy: 0.0500 Epoch 338/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0398 - accuracy: 0.0000e+00 - val_loss: 0.0401 - val_accuracy: 0.0500 Epoch 339/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0397 - accuracy: 0.0000e+00 - val_loss: 0.0400 - val_accuracy: 0.0500 Epoch 340/400 3/3 [==============================] - 0s 40ms/step - loss: 0.0396 - accuracy: 0.0000e+00 - val_loss: 0.0400 - val_accuracy: 0.0500 Epoch 341/400 3/3 [==============================] - 0s 53ms/step - loss: 0.0395 - accuracy: 0.0000e+00 - val_loss: 0.0399 - val_accuracy: 0.0500 Epoch 342/400 3/3 [==============================] - 0s 54ms/step - loss: 0.0395 - accuracy: 0.0000e+00 - val_loss: 0.0399 - val_accuracy: 0.0500 Epoch 343/400 3/3 [==============================] - 0s 45ms/step - loss: 0.0394 - accuracy: 0.0000e+00 - val_loss: 0.0398 - val_accuracy: 0.0500 Epoch 344/400 3/3 [==============================] - 0s 46ms/step - loss: 0.0393 - accuracy: 0.0000e+00 - val_loss: 0.0398 - val_accuracy: 0.0500 Epoch 345/400 3/3 [==============================] - 0s 46ms/step - loss: 0.0393 - accuracy: 0.0000e+00 - val_loss: 0.0397 - val_accuracy: 0.0500 Epoch 346/400 3/3 [==============================] - 0s 53ms/step - loss: 0.0392 - accuracy: 0.0000e+00 - val_loss: 0.0396 - val_accuracy: 0.0500 Epoch 347/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0391 - accuracy: 0.0000e+00 - val_loss: 0.0395 - val_accuracy: 0.0500 Epoch 348/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0391 - accuracy: 0.0000e+00 - val_loss: 0.0394 - val_accuracy: 0.0500 Epoch 349/400 3/3 [==============================] - 0s 28ms/step - loss: 0.0390 - accuracy: 0.0000e+00 - val_loss: 0.0394 - val_accuracy: 0.0500 Epoch 350/400 3/3 [==============================] - 0s 34ms/step - loss: 0.0390 - accuracy: 0.0000e+00 - val_loss: 0.0394 - val_accuracy: 0.0500 Epoch 351/400 3/3 [==============================] - 0s 90ms/step - loss: 0.0389 - accuracy: 0.0000e+00 - val_loss: 0.0393 - val_accuracy: 0.0500 Epoch 352/400 3/3 [==============================] - 0s 41ms/step - loss: 0.0388 - accuracy: 0.0000e+00 - val_loss: 0.0392 - val_accuracy: 0.0500 Epoch 353/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0389 - accuracy: 0.0000e+00 - val_loss: 0.0392 - val_accuracy: 0.0500 Epoch 354/400 3/3 [==============================] - 0s 28ms/step - loss: 0.0387 - accuracy: 0.0000e+00 - val_loss: 0.0391 - val_accuracy: 0.0500 Epoch 355/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0386 - accuracy: 0.0000e+00 - val_loss: 0.0390 - val_accuracy: 0.0500 Epoch 356/400 3/3 [==============================] - 0s 61ms/step - loss: 0.0386 - accuracy: 0.0000e+00 - val_loss: 0.0389 - val_accuracy: 0.0500 Epoch 357/400 3/3 [==============================] - 0s 58ms/step - loss: 0.0386 - accuracy: 0.0000e+00 - val_loss: 0.0390 - val_accuracy: 0.0500 Epoch 358/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0386 - accuracy: 0.0000e+00 - val_loss: 0.0389 - val_accuracy: 0.0500 Epoch 359/400 3/3 [==============================] - 0s 32ms/step - loss: 0.0385 - accuracy: 0.0000e+00 - val_loss: 0.0388 - val_accuracy: 0.0500 Epoch 360/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0384 - accuracy: 0.0000e+00 - val_loss: 0.0387 - val_accuracy: 0.0500 Epoch 361/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0384 - accuracy: 0.0000e+00 - val_loss: 0.0388 - val_accuracy: 0.0500 Epoch 362/400 3/3 [==============================] - 0s 30ms/step - loss: 0.0382 - accuracy: 0.0000e+00 - val_loss: 0.0389 - val_accuracy: 0.0500 Epoch 363/400 3/3 [==============================] - 0s 30ms/step - loss: 0.0382 - accuracy: 0.0000e+00 - val_loss: 0.0391 - val_accuracy: 0.0500 Epoch 364/400 3/3 [==============================] - 0s 33ms/step - loss: 0.0381 - accuracy: 0.0000e+00 - val_loss: 0.0391 - val_accuracy: 0.0500 Epoch 365/400 3/3 [==============================] - 0s 29ms/step - loss: 0.0381 - accuracy: 0.0000e+00 - val_loss: 0.0390 - val_accuracy: 0.0500 Epoch 366/400 3/3 [==============================] - 0s 30ms/step - loss: 0.0380 - accuracy: 0.0000e+00 - val_loss: 0.0390 - val_accuracy: 0.0500 Epoch 367/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0380 - accuracy: 0.0000e+00 - val_loss: 0.0388 - val_accuracy: 0.0500 Epoch 368/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0379 - accuracy: 0.0000e+00 - val_loss: 0.0386 - val_accuracy: 0.0500 Epoch 369/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0379 - accuracy: 0.0000e+00 - val_loss: 0.0386 - val_accuracy: 0.0500 Epoch 370/400 3/3 [==============================] - 0s 28ms/step - loss: 0.0379 - accuracy: 0.0000e+00 - val_loss: 0.0384 - val_accuracy: 0.0500 Epoch 371/400 3/3 [==============================] - 0s 26ms/step - loss: 0.0377 - accuracy: 0.0000e+00 - val_loss: 0.0384 - val_accuracy: 0.0500 Epoch 372/400 3/3 [==============================] - 0s 26ms/step - loss: 0.0377 - accuracy: 0.0000e+00 - val_loss: 0.0383 - val_accuracy: 0.0500 Epoch 373/400 3/3 [==============================] - 0s 26ms/step - loss: 0.0376 - accuracy: 0.0000e+00 - val_loss: 0.0382 - val_accuracy: 0.0500 Epoch 374/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0376 - accuracy: 0.0000e+00 - val_loss: 0.0381 - val_accuracy: 0.0500 Epoch 375/400 3/3 [==============================] - 0s 33ms/step - loss: 0.0375 - accuracy: 0.0000e+00 - val_loss: 0.0380 - val_accuracy: 0.0500 Epoch 376/400 3/3 [==============================] - 0s 42ms/step - loss: 0.0375 - accuracy: 0.0000e+00 - val_loss: 0.0379 - val_accuracy: 0.0500 Epoch 377/400 3/3 [==============================] - 0s 34ms/step - loss: 0.0375 - accuracy: 0.0000e+00 - val_loss: 0.0379 - val_accuracy: 0.0500 Epoch 378/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0374 - accuracy: 0.0000e+00 - val_loss: 0.0379 - val_accuracy: 0.0500 Epoch 379/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0373 - accuracy: 0.0000e+00 - val_loss: 0.0379 - val_accuracy: 0.0500 Epoch 380/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0372 - accuracy: 0.0000e+00 - val_loss: 0.0381 - val_accuracy: 0.0500 Epoch 381/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0372 - accuracy: 0.0000e+00 - val_loss: 0.0383 - val_accuracy: 0.0500 Epoch 382/400 3/3 [==============================] - 0s 27ms/step - loss: 0.0372 - accuracy: 0.0000e+00 - val_loss: 0.0382 - val_accuracy: 0.0500 Epoch 383/400 3/3 [==============================] - 0s 28ms/step - loss: 0.0371 - accuracy: 0.0000e+00 - val_loss: 0.0381 - val_accuracy: 0.0500 Epoch 384/400 3/3 [==============================] - 0s 30ms/step - loss: 0.0371 - accuracy: 0.0000e+00 - val_loss: 0.0379 - val_accuracy: 0.0500 Epoch 385/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0370 - accuracy: 0.0000e+00 - val_loss: 0.0377 - val_accuracy: 0.0500 Epoch 386/400 3/3 [==============================] - 0s 24ms/step - loss: 0.0371 - accuracy: 0.0000e+00 - val_loss: 0.0376 - val_accuracy: 0.0500 Epoch 387/400 3/3 [==============================] - 0s 38ms/step - loss: 0.0369 - accuracy: 0.0000e+00 - val_loss: 0.0375 - val_accuracy: 0.0500 Epoch 388/400 3/3 [==============================] - 0s 25ms/step - loss: 0.0369 - accuracy: 0.0000e+00 - val_loss: 0.0375 - val_accuracy: 0.0500 Epoch 389/400 3/3 [==============================] - 0s 31ms/step - loss: 0.0368 - accuracy: 0.0000e+00 - val_loss: 0.0375 - val_accuracy: 0.0500 Epoch 390/400 3/3 [==============================] - 0s 47ms/step - loss: 0.0368 - accuracy: 0.0000e+00 - val_loss: 0.0374 - val_accuracy: 0.0500 Epoch 391/400 3/3 [==============================] - 0s 63ms/step - loss: 0.0367 - accuracy: 0.0000e+00 - val_loss: 0.0374 - val_accuracy: 0.0500 Epoch 392/400 3/3 [==============================] - 0s 57ms/step - loss: 0.0367 - accuracy: 0.0000e+00 - val_loss: 0.0374 - val_accuracy: 0.0500 Epoch 393/400 3/3 [==============================] - 0s 54ms/step - loss: 0.0366 - accuracy: 0.0000e+00 - val_loss: 0.0374 - val_accuracy: 0.0500 Epoch 394/400 3/3 [==============================] - 0s 54ms/step - loss: 0.0366 - accuracy: 0.0000e+00 - val_loss: 0.0375 - val_accuracy: 0.0500 Epoch 395/400 3/3 [==============================] - 0s 54ms/step - loss: 0.0365 - accuracy: 0.0000e+00 - val_loss: 0.0375 - val_accuracy: 0.0500 Epoch 396/400 3/3 [==============================] - 0s 49ms/step - loss: 0.0365 - accuracy: 0.0000e+00 - val_loss: 0.0374 - val_accuracy: 0.0500 Epoch 397/400 3/3 [==============================] - 0s 51ms/step - loss: 0.0364 - accuracy: 0.0000e+00 - val_loss: 0.0373 - val_accuracy: 0.0500 Epoch 398/400 3/3 [==============================] - 0s 52ms/step - loss: 0.0364 - accuracy: 0.0000e+00 - val_loss: 0.0374 - val_accuracy: 0.0500 Epoch 399/400 3/3 [==============================] - 0s 48ms/step - loss: 0.0364 - accuracy: 0.0000e+00 - val_loss: 0.0373 - val_accuracy: 0.0500 Epoch 400/400 3/3 [==============================] - 0s 56ms/step - loss: 0.0363 - accuracy: 0.0000e+00 - val_loss: 0.0371 - val_accuracy: 0.0500
results = model.predict(x_test)
plt.scatter(range(20), results, c='r')
plt.scatter(range(20), y_test,c='g')
plt.show()
plt.plot(history.history['loss'])
plt.show()
#### The loss nearly stagnates during the later stages - therefore the model would still produce a satisfactory output at epochs~300
