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

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

其他 2020-04-12 10:46:36 阅读次数: 0

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转载自blog.csdn.net/qq_41185868/article/details/105439831

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

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

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

关于tensorflow里面的tf.contrib.rnn.BasicLSTMCell 中num_units参数问题

RNN调试错误：lstm_cell = tf.contrib.rnn.core_rnn_cell.BasicLSTMCell(lstm_size) 方法已失效

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

Tensorflow：tf.contrib.rnn.DropoutWrapper函数(谷歌已经为Dropout申请了专利！)、MultiRNNCell函数的解读与理解

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

TesorFlow之RNN与LSTM

RNN之LSTM

tf.compat.v1.nn.rnn_cell.BasicLSTMCell

tensorflow教程:tf.contrib.rnn.DropoutWrapper

tf.contrib.rnn.MultiRNNCell的用法

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

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

解读tensorflow之rnn

LSTM tf.nn.rnn_cell.LSTMCell

RNN与LSTM

RNN & LSTM

module 'tensorflow.contrib.rnn' has no attribute 'core_run_cell' 'BasicLSTMCell'

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

深度学习原理与框架-递归神经网络-RNN网络基本框架(代码?) 1.rnn.LSTMCell(生成单层LSTM) 2.rnn.DropoutWrapper(对rnn进行dropout操作) 3.tf.contrib.rnn.MultiRNNCell(堆叠多层LSTM) 4.mlstm_cell.zero_state(state初始化) 5.mlstm_cell(进行LSTM求解)

tf.contrib.legacy_seq2seq.embedding_rnn_decoder

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

DL课程：RNN、LSTM、GRU及相关应用案例代码

deep_learning 02. tf.nn.rnn_cell.BasicLSTMCell()

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

『RNN』简单RNN到LSTM

tensorflow1.2中出现错误问题AttributeError: module 'tensorflow.contrib.rnn' has no attribute 'BasicLSTMCell'

深度学习之从RNN到LSTM

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