MinPy
latest

Basics

  • MinPy installation guide
  • Logistic regression tutorial
  • NumPy under MinPy, with GPU
  • Autograd in MinPy
  • Transparent Fallback

Advanced Tutorials

  • Complete solver and optimizer guide
  • CNN Tutorial
  • RNN Tutorial
  • RNN on MNIST
  • Reinforcement learning with policy gradient
  • Improved RL with Parallel Advantage Actor-Critic
  • Complete model builder guide
  • Learning Deep Learning with MinPy

Features

  • Select Policy for Operations
  • Show Operation Dispatch Statistics
  • Select Context for MXNet
  • Customized Operator
  • MinPy IO
  • Limitation and Pitfalls
  • Supported GPU operators

Visualization

  • Visualization with TensorBoard
  • Visualizing Solvers with TensorBoard

Developer Documentation

  • How to build and release
  • Add to MinPy’s operators
  • MinPy API
    • minpy package
      • Subpackages
        • minpy.array_variants package
        • minpy.dispatch package
        • minpy.utils package
      • Submodules
      • minpy.array module
      • minpy.core module
      • minpy.tape module

History and Acknowledgement

  • History and Credits
MinPy
  • Docs »
  • MinPy API »
  • minpy package »
  • minpy.array_variants package
  • Edit on GitHub

minpy.array_variants package¶

Subpackages¶

  • minpy.array_variants.mxnet package
    • Submodules
    • minpy.array_variants.mxnet.mxnet_core module
    • minpy.array_variants.mxnet.mxnet_wrapper module
    • minpy.array_variants.mxnet.random module
  • minpy.array_variants.numpy package
    • Submodules
    • minpy.array_variants.numpy.numpy_core module
    • minpy.array_variants.numpy.numpy_wrapper module
    • minpy.array_variants.numpy.random module
Next Previous

© Copyright 2016, DMLC. Revision 2e44927a.

Built with Sphinx using a theme provided by Read the Docs.