training time range: (0, 210225)
training_inputs.shape: (10000, 336, 14)
training_targets.shape: (10000,)

validation time range: (210225, 315337)
validation_inputs.shape: (10000, 336, 14)
validation_targets.shape: (10000,)

test time range: (315337, 420451)
test_inputs.shape: (1000, 336, 14)
test_targets.shape: (1000,)
Epoch 1/10
313/313 [==============================] - 1s 3ms/step - loss: 0.8577 - accuracy: 0.7044 - val_loss: 1.7259 - val_accuracy: 0.3544
Epoch 2/10
313/313 [==============================] - 1s 3ms/step - loss: 0.4335 - accuracy: 0.8702 - val_loss: 1.9093 - val_accuracy: 0.3343
Epoch 3/10
313/313 [==============================] - 1s 3ms/step - loss: 0.2870 - accuracy: 0.9232 - val_loss: 2.0051 - val_accuracy: 0.3612
Epoch 4/10
313/313 [==============================] - 1s 3ms/step - loss: 0.1851 - accuracy: 0.9584 - val_loss: 2.0876 - val_accuracy: 0.3602
Epoch 5/10
313/313 [==============================] - 1s 3ms/step - loss: 0.1375 - accuracy: 0.9726 - val_loss: 2.3193 - val_accuracy: 0.3401
Epoch 6/10
313/313 [==============================] - 1s 3ms/step - loss: 0.0963 - accuracy: 0.9854 - val_loss: 2.3876 - val_accuracy: 0.3508
Epoch 7/10
313/313 [==============================] - 1s 3ms/step - loss: 0.0757 - accuracy: 0.9891 - val_loss: 2.6004 - val_accuracy: 0.3383
Epoch 8/10
313/313 [==============================] - 1s 3ms/step - loss: 0.0646 - accuracy: 0.9919 - val_loss: 2.4793 - val_accuracy: 0.3650
Epoch 9/10
313/313 [==============================] - 1s 4ms/step - loss: 0.0834 - accuracy: 0.9842 - val_loss: 2.6613 - val_accuracy: 0.3482
Epoch 10/10
313/313 [==============================] - 1s 3ms/step - loss: 0.1995 - accuracy: 0.9377 - val_loss: 2.3216 - val_accuracy: 0.3766

Best validation accuracy: 37.7%, reached in epoch 10
Dense test accuracy: 42.4%
[[   0   30    7    0    0    0    0    0    0    0   12   13]
 [  34   22    9    4    0    0    0    0    0    0    3   10]
 [  27   21    9   24    0    0    0    0    0    0    0    0]
 [   5   14    9   61    0    0    0    0    0    0    0    0]
 [   0    0    0   10   70    5    0    0    0    0    0    0]
 [   0    0    0    0   22   31   13    0    1    0    0    0]
 [   0    0    0    0    0   38   10    5   38    2    0    0]
 [   0    0    0    0    0    0    1    5   90    0    0    0]
 [   0    0    0    0    0    5    4    2   74   19    0    0]
 [   0    0    0    0    0    0    0    0   16   60    6    0]
 [   0    0    0    0    0    0    0    0    0    2   66    7]
 [   3   19    0    0    0    0    0    0    0    1   45   16]]