AI, Machine Learning, Artificial Intelligence, Deep Learning, Data Science.
Load the MNIST dataset (x_train, _), (x_test, _) = mnist.load_data() # Reshape the data to a 1D vector and normalize the values to be between 0 and 1 x_train = x_train.reshape((len(x_train), np.prod(x_train.shape[1:]))) x_test = x_test.reshape((len(x_test), np.prod(x_test.shape[1:]))) x_train =