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Teaching
Recurrent Neural Networks
using Tensorflow 
Rajiv Shah
twitter: rajcs4
rshah@pobox.com
www.rajivshah.com
Teaching Recurrent Neural Networks
using Tensorflow
• How they are used
• Theory - http://playground.tensorflow.org/
• Learn a sine wave - http://tinyurl.com/raj-sine
• Learn to add - http://tinyurl.com/raj-add
• Learn handwriting - https://github.com/hardmaru/
write-rnn-tensorflow
Theory
Recurrent Neural Networks:
Theory
Unrolling an RNN
RNN
LSTM
Examples of RNNs
Little more theory . . . but fun
Tensorflow Playground
• http://playground.tensorflow.org/
Sine Wave
High Level Architecture
• Function to get batches
• Determined type of RNN cells and initialize them
• Decide on cost function and hyper parameters
(dropout, learning rate, optimizer, batch size, sequence
length)
• Run session
Go to the python notebook
Friendly Tensorflow - Using
R / Shiny
• Wrapped calls to tensorflow using the rPython
language
• Shiny provided a nice visual interface and the ability to
quickly change different sorts of inputs / models
• https://github.com/rajshah4/tensorflow_shiny
Adding
Teaching Kids to Add
Teaching to Add
(array([[7],
[4],
[1],
[8],
[0],
[3],
[1],
[5],
[6],
[9],
[2],
[0],
[0],
[0],
[0]]), 46.0)
Go to the python notebook
Learning Handwriting
Links
• http://www.cs.toronto.edu/~graves/handwriting.html
• https://github.com/hardmaru/write-rnn-tensorflow
Take Aways
• RNNs are sequential learners and state of the art
• Understand why deep learning is powerful
• See how a RNN learns to model a sine wave, add,
learn handwriting . . .
Teaching
Recurrent Neural Networks
using Tensorflow 
Rajiv Shah
twitter: rajcs4
rshah@pobox.com
www.rajivshah.com

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