DL之LSTM:tf.contrib.rnn.BasicLSTMCell(rnn_unit)函数的解读
DL之LSTM:tf.contrib.rnn.BasicLSTMCell(rnn_unit)函数的解读 目录 tf.contrib.rnn.BasicLSTMCell(rnn_unit)函数的解读 函数功能解读 函数代码实现 tf.contrib.rnn.BasicLSTMCell(rnn_unit)函数的解读 函数功能解读 """Basic LSTM recurrent network cell. The implementation is based on: http://arxiv.org/abs/1409.2329. We add forget_bias (default: 1) to the biases of the forget gate in order to reduce the scale of forgetting in the beginning of the training. It does not allow cell clipping, a projection layer, and does not use peep-hole connections: it is the basic baseline. For advanced models, please use the full @{tf.nn.rnn_cell.LSTMCell} that