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Deep Learning with Theano

You're reading from   Deep Learning with Theano Perform large-scale numerical and scientific computations efficiently

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781786465825
Length 300 pages
Edition 1st Edition
Tools
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Author (1):
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Christopher Bourez Christopher Bourez
Author Profile Icon Christopher Bourez
Christopher Bourez
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Table of Contents (15) Chapters Close

Preface 1. Theano Basics FREE CHAPTER 2. Classifying Handwritten Digits with a Feedforward Network 3. Encoding Word into Vector 4. Generating Text with a Recurrent Neural Net 5. Analyzing Sentiment with a Bidirectional LSTM 6. Locating with Spatial Transformer Networks 7. Classifying Images with Residual Networks 8. Translating and Explaining with Encoding – decoding Networks 9. Selecting Relevant Inputs or Memories with the Mechanism of Attention 10. Predicting Times Sequences with Advanced RNN 11. Learning from the Environment with Reinforcement 12. Learning Features with Unsupervised Generative Networks 13. Extending Deep Learning with Theano Index

Theano Op in C for CPU

Another inefficiency arises from the fact the Python implementation of an operator adds a significant overhead each time computations are performed, that is, for each instance of our operator in the graph. The Python code is not compiled as the rest of the graph by Theano in C and the overhead occurs when the C implementation is wrapped into Python and data is exchanged.

To remedy this, it is possible to directly write some C code that will be incorporated into the code of the rest of the graph and compiled together.

When implementing an operator directly in C, NumPy is the underlying library to manage arrays, with the the NumPy-API extending Python C-API. The Python class defining the new C operator does not have to implement the perform() method; instead, it returns the C code to incorporate in the c_code(), c_support_code() and c_support_code_apply() methods:

def c_code_cache_version(self):
    return (6, 0)

def c_support_code(self):
    c_support_code = "&quot...
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