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Theano 0.8.2 Document
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Further readings

 来源:deeplearning 浏览 420 扫码 分享 2020-04-11 08:08:10
  • 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
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  • 书签
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  • Welcome
  • Release Notes
  • Theano at a Glance
  • Installing 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
    • Advanced
      • Sparse
      • Using the GPU
      • Using multiple GPUs
    • Advanced configuration and debugging
      • Configuration Settings and Compiling Modes
      • Printing/Drawing Theano graphs
      • Debugging Theano: FAQ and Troubleshooting
      • Dealing with NaNs
    • 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
    • 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]
    • 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
  • 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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