Autoencoder, Capsule Networks, Attention Mechanism, Deep Learning, Artificial Intelligence.
input_shape[0][2]), initializer='uniform', trainable=True) self.b = self.add_weight(name='attention_bias', shape=(input_shape[0][1], 1), initializer='uniform', trainable=True) super(AttentionLayer, self).build(input_shape) def call(self, x): e = keras.backend.tanh(keras.backend.dot(x[0], self.W) +