Image Classification, Neural Networks, Machine Learning, Artificial Intelligence, AI.
train_datagen.fit(train_images) train_images = train_images / 255.0 test_images = test_images / 255.0 # Model Architecture model = keras.Sequential([ layers.Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)), layers.MaxPooling2D((2, 2)), layers.Conv2D(64, (3, 3), activation='relu'),