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Theano 0.9.x Document
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sandbox – Experimental Code

 来源:deeplearning 浏览 363 扫码 分享 2020-04-11 08:35:40
  • sandbox – Experimental Code

    sandbox – Experimental Code

    • sandbox.cuda – The CUDA GPU backend
    • sandbox.linalg – Linear Algebra Ops
    • sandbox.neighbours – Neighbours Ops
    • sandbox.rng_mrg – MRG random number generator
    当前内容版权归 deeplearning 或其关联方所有，如需对内容或内容相关联开源项目进行关注与资助，请访问 deeplearning .
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    • Welcome
    • Release Notes
    • Theano at a Glance
    • Requirements
    • Installing Theano
    • Updating Theano
    • Tutorial
      • Prerequisites
        • Python tutorial
        • NumPy refresher
      • Basics
        • Baby Steps - Algebra
        • More Examples
        • Derivatives in Theano
        • Conditions
        • Loop
        • How Shape Information is Handled by Theano
        • Broadcasting
      • Advanced
        • Sparse
        • Using the GPU
        • Using multiple GPUs
        • Convolution arithmetic tutorial
      • Advanced configuration and debugging
        • Configuration Settings and Compiling Modes
        • Printing/Drawing Theano graphs
        • Debugging Theano: FAQ and Troubleshooting
        • Dealing with NaNs
        • Profiling Theano function
      • Further readings
        • Loading and Saving
        • PyCUDA/CUDAMat/Gnumpy compatibility
        • Understanding Memory Aliasing for Speed and Correctness
        • Python Memory Management
        • Multi cores support in Theano
        • Frequently Asked Questions
    • Extending Theano
      • Creating a new Op: Python implementation
      • Extending Theano with a C Op
      • Writing an Op to work on an ndarray in C
      • Overview of the compilation pipeline
      • Theano vs. C
      • Graph Structures
      • Making the double type
      • Making arithmetic Ops on double
      • Views and inplace operations
      • Implementing some specific Ops
      • Implementing double in C
      • Implementing the arithmetic Ops in C
      • Using Op params
      • Extending Theano with a GPU Op
      • Graph optimization
      • Tips
      • Unit Testing
      • Extending Theano: FAQ and Troubleshooting
    • Developer Start Guide
    • Optimizations
    • API Documentation
      • compile – Transforming Expression Graphs to Functions
      • config – Theano Configuration
      • d3viz – d3viz: Interactive visualization of Theano compute graphs
      • gof – Theano Internals [doc TODO]
      • gpuarray – The (new) GPU backend
      • gradient – Symbolic Differentiation
      • misc.pkl_utils - Tools for serialization.
      • printing – Graph Printing and Symbolic Print Statement
      • sandbox – Experimental Code
      • scalar – Symbolic Scalar Types, Ops [doc TODO]
      • scan – Looping in Theano
      • sparse – Symbolic Sparse Matrices
      • sparse.sandbox – Sparse Op Sandbox
      • tensor – Types and Ops for Symbolic numpy
      • typed_list – Typed List
      • tests – Tests
    • Troubleshooting
    • Glossary
    • Links
    • Internal Documentation
      • Release
      • Developer Start Guide MOVED!
      • Documentation Documentation AKA Meta-Documentation
      • Python booster
      • How to make a release
    • Acknowledgements
    • LICENSE
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