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fix typo: reccurent -> recurrent
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Yunfeng Wang committed Sep 1, 2016
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4 changes: 2 additions & 2 deletions examples/3_NeuralNetworks/recurrent_network.py
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'''
A Reccurent Neural Network (LSTM) implementation example using TensorFlow library.
A Recurrent Neural Network (LSTM) implementation example using TensorFlow library.
This example is using the MNIST database of handwritten digits (http://yann.lecun.com/exdb/mnist/)
Long Short Term Memory paper: http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf
Expand All @@ -18,7 +18,7 @@
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)

'''
To classify images using a reccurent neural network, we consider every image
To classify images using a recurrent neural network, we consider every image
row as a sequence of pixels. Because MNIST image shape is 28*28px, we will then
handle 28 sequences of 28 steps for every sample.
'''
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