tf.nn.static_rnn 和 tf.contrib.rnn.static_rnn - 代码天地

tf.nn.static_rnn 和 tf.contrib.rnn.static_rnn

其他 2018-12-23 23:05:17 阅读次数: 0

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转载自blog.csdn.net/qq_32806793/article/details/85221734

tf.nn.static_rnn 和 tf.contrib.rnn.static_rnn

tf.contrib.rnn.static_bidirectional_rnn和MultiRNNCell构建多层静态双向LSTM

tf.nn.static_bidirectional_rnn ; tf.contrib.rnn.static_bidirectional_rnn 讲解

tf.contrib.rnn.LSTMCell 和 tf.nn.rnn_cell.LSTMCell

LSTM-tf.nn.static_rnn与tf.nn.dynamic_rnn.用法详解

tensorflow之tf.nn.static_bidirectional_rnn详解

LSTM训练词向量：tf.contrib.rnn.DropoutWrapper和 tf.contrib.rnn.BasicLSTMCell、tf.variable_scope、tf.stack、tf.

tf.nn.dynamic_rnn的输出outputs和state含义

tf.nn.bidirectional_dynamic_rnn和MultiRNNCell构建双向多层RNN(LSTM)

tensorflow笔记 tf.nn.dynamic_rnn 和 bidirectional_dynamic_rnn

深度学习总结：tensorflow和pytorch关于RNN的对比,tf.nn.dynamic_rnn,nn.LSTM

tf.nn.dynamic_rnn

【转载】【TensorFlow】static_rnn 和dynamic_rnn的区别

tensorflow教程:tf.contrib.rnn.DropoutWrapper

tf.contrib.rnn.MultiRNNCell的用法

tf.nn.dynamic_rnn和MultiRNNCell构建多层动态LSTM

tf.nn.bidirectional_dynamic_rnn \ tf.contrib.training.bucket_by_sequence_length \ tf.nn.ctc_loss理解

tf.nn.rnn_cell.MultiRNNCell

tf.nn.dynamic_rnn的详解

LSTM tf.nn.rnn_cell.LSTMCell

tf.nn.dynamic_rnn（推荐阅读）

学习TensorFlow之tf.contrib.rnn.BasicRNNCell()

tf.contrib.legacy_seq2seq.embedding_rnn_decoder

tensorflow教程:tf.contrib.rnn.DropoutWrapper(讲解的不错)

tf.dynamic_rnn

tf学习（八）—— RNN

tf中的RNN

tensorflow学习之LSTMCell详解(Class tf.contrib.rnn.LSTMCell与Class tf.contrib.rnn.BasicLSTMCell的区别)

【手写笔记】tensorflow的static_rnn和dynamic_rnn详解

DL之LSTM：tf.contrib.rnn.BasicLSTMCell(rnn_unit)函数的解读

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