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如何计算RNN和LSTM的参数数量?

如何计算RNN和LSTM的参数数量? Environment: python version: 3.7.4 pip version: 19.0.3 numpy version:1.19.4 matplotlib version:3.3.3 tensorflow version:1.14.0 keras version:2.1.5 代码如下: from keras.layers import SimpleRNN from keras.models import Model from keras import Input inputs = Input((None, 5)) simple_rnn = SimpleRNN(4) output = simple_rnn(inputs) # The output has shape `[32, 4]`. model = Model(inputs,output)

创建一个简单的RNN网络

创建一个简单的RNN网络 Environment: python version: 3.7.4 pip version: 19.0.3 numpy version:1.19.4 matplotlib version:3.3.3 tensorflow version:1.14.0 keras version:2.1.5 代码如下: import keras from keras import backend as K from keras.layers import RNN class MinimalRNNCell(keras.layers.Layer): def __init__(self, units,use_bias = True, **kwargs): self.units = units self.state_size = units self.use_bias = use_bias super(MinimalRNNCell, self).__init__(**kwargs) def build(self, input_shape): self.kernel = self.add_weight(shape=(input_shape[-1], self.units),