Cnn, Neural Networks, Rnn, Machine Learning, Artificial Intelligence.
MaxPooling2D, Flatten, Dense # Load the CIFAR-10 dataset (x_train, y_train), (x_test, y_test) = cifar10.load_data() # Preprocess the data x_train, x_test = x_train / 255.0, x_test / 255.0 # Build a CNN model model = Sequential([ Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)),