我们从Python开源项目中,提取了以下2个代码示例,用于说明如何使用keras.layers.Recurrent()。
def preprocess_input(self, x): if self.consume_less == 'cpu': input_shape = self.input_spec[0].shape input_dim = input_shape[2] timesteps = input_shape[1] return time_distributed_dense(x, self.W, None, self.dropout_W, input_dim, self.output_dim, timesteps) else: return x # override Recurrent's get_initial_states function to load the trainable # initial hidden state