Deep Learning, Autoencoder, Python Programming, Keras, Technology.
architecture This is the architecture of our autoencoder: # Create the model model = Sequential() model.add(Conv1D(128, kernel_size=3, kernel_constraint=max_norm(max_norm_value), activation='relu', kernel_initializer='he_uniform', input_shape=input_shape)) model.add(Conv1D(32, kernel_size=3,