Theano 1.0 Document
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gof – Theano Internals [doc TODO]

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    gof – Theano Internals [doc TODO]

    • – Interface for the Theano graph
    • – Wrapper class for op params
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    • LICENSE
    • Updating Theano
    • Acknowledgements
    • Optimizations
    • Theano at a Glance
    • Extending Theano
      • Implementing some specific Ops
      • Extending Theano with a GPU Op
      • Implementing double in C
      • Developper documentation for Scan
      • Implementing the arithmetic Ops in C
      • Tips
      • Graph Structures
      • Graph optimization
      • Theano vs. C
      • Overview of the compilation pipeline
      • Creating a new Op: Python implementation
      • Making arithmetic Ops on double
      • Using Op params
      • Unit Testing
      • Extending Theano with a C Op
      • Views and inplace operations
      • Writing an Op to work on an ndarray in C
      • Making the double type
      • Extending Theano: FAQ and Troubleshooting
    • API Documentation
      • d3viz – d3viz: Interactive visualization of Theano compute graphs
      • gradient – Symbolic Differentiation
      • printing – Graph Printing and Symbolic Print Statement
      • tests – Tests
      • gof – Theano Internals [doc TODO]
        • utils – Utilities functions operating on the graph
        • graph – Interface for the Theano graph
        • theano.gof.params_type – Wrapper class for op params
        • toolbox – [doc TODO]
        • fg – Graph Container [doc TODO]
        • type – Interface for types of variables
      • typed_list – Typed List
      • misc.pkl_utils - Tools for serialization.
      • compile – Transforming Expression Graphs to Functions
        • debugmode
        • mode – controlling compilation
        • ops – Some Common Ops and extra Ops stuff
        • function - defines theano.function
        • shared - defines theano.shared
        • nanguardmode
        • io - defines theano.function [TODO]
      • sandbox – Experimental Code
        • sandbox.neighbours – Neighbours Ops
        • sandbox.rng_mrg – MRG random number generator
        • sandbox.linalg – Linear Algebra Ops
      • scalar – Symbolic Scalar Types, Ops [doc TODO]
      • config – Theano Configuration
      • scan – Looping in Theano
      • sparse – Symbolic Sparse Matrices
      • tensor – Types and Ops for Symbolic numpy
        • tensor.utils – Tensor Utils
        • tensor.extra_ops – Tensor Extra Ops
        • Basic Tensor Functionality
        • signal – Signal Processing
        • nnet – Ops related to neural networks
        • tensor.io – Tensor IO Ops
        • tensor.elemwise – Tensor Elemwise
        • tensor.nlinalg – Linear Algebra Ops Using Numpy
        • shared_randomstreams – Friendly random numbers
        • raw_random – Low-level random numbers
        • tensor.fft – Fast Fourier Transforms
        • tensor.slinalg – Linear Algebra Ops Using Scipy
        • tensor.opt – Tensor Optimizations
      • sparse.sandbox – Sparse Op Sandbox
      • gpuarray – The (new) GPU backend
        • theano.gpuarray.dnn – cuDNN
        • theano.gpuarray.ctc – Connectionist Temporal Classification (CTC) loss
        • List of gpuarray Ops implemented
        • Utility functions
        • theano.gpuarray.fft – Fast Fourier Transforms
        • theano.gpuarray.type – Type classes
    • Installing Theano
    • Troubleshooting
    • Internal Documentation
      • Release
      • Python booster
      • Developer Start Guide MOVED!
      • Documentation Documentation AKA Meta-Documentation
      • How to make a release
    • Welcome
    • Glossary
    • Tutorial
      • Configuration Settings and Compiling Modes
      • Conditions
      • Using multiple GPUs
      • How Shape Information is Handled by Theano
      • Profiling Theano function
      • Python Memory Management
      • Sparse
      • Convolution arithmetic tutorial
      • Printing/Drawing Theano graphs
      • Baby Steps - Algebra
      • Loop
      • Loading and Saving
      • Dealing with NaNs
      • NumPy refresher
      • Python tutorial
      • Using the GPU
      • Understanding Memory Aliasing for Speed and Correctness
      • More Examples
      • Multi cores support in Theano
      • Broadcasting
      • Debugging Theano: FAQ and Troubleshooting
      • Frequently Asked Questions
      • Derivatives in Theano
    • Links
    • Release Notes
    • Requirements
    • Developer Start Guide
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