思维导图备注

Theano 0.9.x Document
首页 白天 夜间 BookChat 小程序 小程序 阅读
  • 书签 我的书签
  • 添加书签 添加书签 移除书签 移除书签

Advanced

 来源:deeplearning 浏览 346 扫码 分享 2020-04-11 08:29:21
  • Sparse
  • Using the GPU
  • Using multiple GPUs
  • Convolution arithmetic tutorial
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 .
上一篇:
下一篇:
  • 书签
  • 添加书签 移除书签
  • 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
暂无相关搜索结果！

    本文档使用 BookStack 构建

    展开/收起文章目录

    分享，让知识传承更久远

    文章二维码

    手机扫一扫，轻松掌上读

    文档下载

    • 普通下载
    • 下载码下载(免登录无限下载)
    你与大神的距离，只差一个APP
    APP下载
    请下载您需要的格式的文档，随时随地，享受汲取知识的乐趣！
    PDF文档 EPUB文档 MOBI文档
    温馨提示 每天每在网站阅读学习一分钟时长可下载一本电子书，每天连续签到可增加阅读时长
    下载码方式下载：免费、免登录、无限制。 免费获取下载码

    微信小程序阅读

    BookChat 微信小程序阅读
    您与他人的薪资差距，只差一个随时随地学习的小程序

    书签列表

      阅读记录

      阅读进度: 0.00% ( 0/0 ) 重置阅读进度