Autoencoder, Capsule Networks, Attention Mechanism, Deep Learning, Artificial Intelligence.
dim_capsule=16, routings=3)(conv1) out_caps = Length(name='capsnet')(capsule) model = Model(x, out_caps) # Compile the model model.compile(optimizer='adam', loss='mse') # Here you'd load your data, preprocess it, and then train the model # For simplicity's sake, we're using MNIST as an example