How to make a simple rnn using TF learn

This recipe helps you make a simple rnn using TF learn

Recipe Objective

This recipe explains how to make simple RNN in TFLayer.

Learn to use RNN for Text Classification with Source Code

Simple RNN

Its syntax is: tflearn.layers.recurrent.simple_rnn (incoming, n_units, activation='sigmoid', dropout=None, bias=True, weights_init=None, return_seq=False, return_state=False, initial_state=None, dynamic=False, trainable=True, restore=True, reuse=False, scope=None, name='SimpleRNN')

def Simple_RNN(incoming, n_units, activation='sigmoid', dropout=None, bias=True, weights_init=None, return_seq=False, return_state=False, initial_state=None, dynamic=False, trainable=True, restore=True, reuse=False, scope=None, name="simpleRNN"):

    c = BasicRNNCell(n_units, activation=activation, bias=bias, weights_init=weights_init, trainable=trainable, restore=restore, reuse=reuse)

    y = _rnn_template(incoming, cell=cell, dropout=dropout, return_seq=return_seq, return_state=return_state, initial_state=initial_state, dynamic=dynamic, scope=scope, name=name)

    return y

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