Data Science, Machine Learning, Artificial Intelligence, Technology, Cybersecurity.
epochs = 5 # Create the model with DP def create_model(): return tf.keras.Sequential([ tf.keras.layers.Conv2D(16, 8, strides=2, padding='same', activation='relu', input_shape=(28, 28, 1)), tf.keras.layers.MaxPool2D(2, 1), tf.keras.layers.Conv2D(32, 4, strides=2, padding='valid', activation='relu'),