TensorFlow RNN The simplest implementation code

Because now the example are more complex involved in more things, draw out a minimalist version.

#!/usr/bin/env python
#-*-coding:utf-8-*-


import tensorflow as TF from
tensorflow.contrib import rnn

Import NumPy as NP

X=tf.placeholder (dtype=tf.float64,shape=[10,10,10],name= "x")

train_x = Np.ones (shape=[10 , Dtype=float],


Cell=tf.nn.rnn_cell. Basiclstmcell (a)


unstack_x = Tf.unstack (x, 1)

Lstm_cell = Rnn. Basiclstmcell (forget_bias=1.0)

outputs, states = Rnn.static_rnn (Lstm_cell, unstack_x, Dtype=tf.float64) With

TF. Session () as Sess:
	Sess.run (Tf.global_variables_initializer ())
	outputs_array= (Sess.run (outputs,feed_ Dict={x:train_x}))

More Tutorials: http://www.tensorflownews.com/