Theano 0.9.x Document
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Installing Theano

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    Installing Theano

    • Ubuntu Installation Instructions
    • Other Platform-specific Installations
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    • Links
    • Glossary
    • Updating Theano
    • Optimizations
    • Internal Documentation
      • Documentation Documentation AKA Meta-Documentation
      • Release
      • How to make a release
      • Python booster
      • Developer Start Guide MOVED!
    • Theano at a Glance
    • LICENSE
    • Extending Theano
      • Using Op params
      • Views and inplace operations
      • Implementing the arithmetic Ops in C
      • Unit Testing
      • Making arithmetic Ops on double
      • Creating a new Op: Python implementation
      • Implementing some specific Ops
      • Overview of the compilation pipeline
      • Theano vs. C
      • Making the double type
      • Extending Theano: FAQ and Troubleshooting
      • Extending Theano with a GPU Op
      • Graph optimization
      • Implementing double in C
      • Tips
      • Graph Structures
      • Extending Theano with a C Op
      • Writing an Op to work on an ndarray in C
    • Requirements
    • Installing Theano
    • Acknowledgements
    • Release Notes
    • Troubleshooting
    • Tutorial
      • Advanced
        • Using the GPU
        • Sparse
        • Using multiple GPUs
        • Convolution arithmetic tutorial
      • Advanced configuration and debugging
        • Dealing with NaNs
        • Configuration Settings and Compiling Modes
        • Profiling Theano function
        • Debugging Theano: FAQ and Troubleshooting
        • Printing/Drawing Theano graphs
      • Basics
        • More Examples
        • How Shape Information is Handled by Theano
        • Baby Steps - Algebra
        • Conditions
        • Loop
        • Derivatives in Theano
        • Broadcasting
      • Further readings
        • Loading and Saving
        • Python Memory Management
        • PyCUDA/CUDAMat/Gnumpy compatibility
        • Frequently Asked Questions
        • Multi cores support in Theano
        • Understanding Memory Aliasing for Speed and Correctness
      • Prerequisites
        • Python tutorial
        • NumPy refresher
    • Welcome
    • API Documentation
      • gof – Theano Internals [doc TODO]
      • typed_list – Typed List
      • misc.pkl_utils - Tools for serialization.
      • printing – Graph Printing and Symbolic Print Statement
      • compile – Transforming Expression Graphs to Functions
      • sparse – Symbolic Sparse Matrices
      • gpuarray – The (new) GPU backend
      • gradient – Symbolic Differentiation
      • sparse.sandbox – Sparse Op Sandbox
      • tensor – Types and Ops for Symbolic numpy
      • scalar – Symbolic Scalar Types, Ops [doc TODO]
      • d3viz – d3viz: Interactive visualization of Theano compute graphs
      • sandbox – Experimental Code
      • tests – Tests
      • scan – Looping in Theano
      • config – Theano Configuration
    • Developer Start Guide
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