def test_regularizer(layer_class):
layer = layer_class(output_dim, return_sequences=False, weights=None,
batch_input_shape=(nb_samples, timesteps, embedding_dim),
W_regularizer=regularizers.WeightRegularizer(l1=0.01),
U_regularizer=regularizers.WeightRegularizer(l1=0.01),
b_regularizer='l2')
shape = (nb_samples, timesteps, embedding_dim)
layer.build(shape)
output = layer(K.variable(np.ones(shape)))
K.eval(output)
评论列表
文章目录