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Theano 0.8.2 Document
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scalar – Symbolic Scalar Types, Ops [doc TODO]

 来源:deeplearning 浏览 335 扫码 分享 2020-04-11 08:15:06
  • scalar – Symbolic Scalar Types, Ops [doc TODO]

    scalar – Symbolic Scalar Types, Ops [doc TODO]

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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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