思维导图备注

Theano 1.0 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

scalar – Symbolic Scalar Types, Ops [doc TODO]

 来源:deeplearning 浏览 306 扫码 分享 2020-04-11 10:18:26
  • scalar – Symbolic Scalar Types, Ops [doc TODO]

    scalar – Symbolic Scalar Types, Ops [doc TODO]

    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
      • Python tutorial
      • NumPy refresher
      • Baby Steps - Algebra
      • More Examples
      • Derivatives in Theano
      • Conditions
      • Loop
      • How Shape Information is Handled by Theano
      • Broadcasting
      • Sparse
      • Using the GPU
      • Using multiple GPUs
      • Convolution arithmetic tutorial
      • Configuration Settings and Compiling Modes
      • Printing/Drawing Theano graphs
      • Debugging Theano: FAQ and Troubleshooting
      • Dealing with NaNs
      • Profiling Theano function
      • Loading and Saving
      • 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
      • Developper documentation for Scan
      • Extending Theano: FAQ and Troubleshooting
    • Developer Start Guide
    • Optimizations
    • API Documentation
      • compile – Transforming Expression Graphs to Functions
        • shared - defines theano.shared
        • function - defines theano.function
        • io - defines theano.function [TODO]
        • ops – Some Common Ops and extra Ops stuff
        • mode – controlling compilation
        • debugmode
        • nanguardmode
      • config – Theano Configuration
      • d3viz – d3viz: Interactive visualization of Theano compute graphs
      • gof – Theano Internals [doc TODO]
        • graph – Interface for the Theano graph
        • fg – Graph Container [doc TODO]
        • toolbox – [doc TODO]
        • type – Interface for types of variables
        • theano.gof.params_type – Wrapper class for op params
        • utils – Utilities functions operating on the graph
      • gpuarray – The (new) GPU backend
        • List of gpuarray Ops implemented
        • theano.gpuarray.dnn – cuDNN
        • theano.gpuarray.fft – Fast Fourier Transforms
        • theano.gpuarray.type – Type classes
        • Utility functions
        • theano.gpuarray.ctc – Connectionist Temporal Classification (CTC) loss
      • gradient – Symbolic Differentiation
      • misc.pkl_utils - Tools for serialization.
      • printing – Graph Printing and Symbolic Print Statement
      • sandbox – Experimental Code
        • sandbox.linalg – Linear Algebra Ops
        • sandbox.neighbours – Neighbours Ops
        • sandbox.rng_mrg – MRG random number generator
      • 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
        • Basic Tensor Functionality
        • nnet – Ops related to neural networks
        • raw_random – Low-level random numbers
        • shared_randomstreams – Friendly random numbers
        • signal – Signal Processing
        • tensor.utils – Tensor Utils
        • tensor.elemwise – Tensor Elemwise
        • tensor.extra_ops – Tensor Extra Ops
        • tensor.io – Tensor IO Ops
        • tensor.opt – Tensor Optimizations
        • tensor.slinalg – Linear Algebra Ops Using Scipy
        • tensor.nlinalg – Linear Algebra Ops Using Numpy
        • tensor.fft – Fast Fourier Transforms
      • 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