Autoencoder, Capsule Networks, Attention Mechanism, Deep Learning, Artificial Intelligence.
shape=(input_shape[1], self.num_capsule, self.dim_capsule), initializer='glorot_uniform', trainable=True) def call(self, inputs): # Dot product between inputs and kernel dot_product = K.batch_dot(inputs, self.kernel, [2, 2]) for i in range(self.routings): c = Softmax(axis=-1)(dot_product) outputs =