Data Science, Machine Learning, Artificial Intelligence, Technology, Cybersecurity.
1).astype('float32') / 255 train_labels = tf.keras.utils.to_categorical(train_labels, 10) test_labels = tf.keras.utils.to_categorical(test_labels, 10) # Define DP hyperparameters l2_norm_clip = 1.5 noise_multiplier = 1.3 num_microbatches = 32 batch_size = num_microbatches * 8 learning_rate = 0.01