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Created September 24, 2020 08:23
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training.py
import tensorflow as tf
import numpy as np
print("TensorFlow's version is", tf.__version__)
print("Keras' version is", tf.keras.__version__)
# Normalize training and testing pixel values
X_train_normalized = X_train / 255 - 0.5
X_test_normalized = X_test / 255 - 0.5
# Convert class vectors to binary class matrices.
Y_train_coded = tf.keras.utils.to_categorical(Y_train, NUM_CLASSES)
Y_test_coded = tf.keras.utils.to_categorical(Y_test, NUM_CLASSES)
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