[ buster ]
[ ソース: lua-torch-nn ]
パッケージ: lua-torch-nn (0~20171002-g8726825+dfsg-4)
lua-torch-nn に関するリンク
Debian の資源:
lua-torch-nn ソースパッケージをダウンロード:
- [lua-torch-nn_0~20171002-g8726825+dfsg-4.dsc]
- [lua-torch-nn_0~20171002-g8726825+dfsg.orig.tar.xz]
- [lua-torch-nn_0~20171002-g8726825+dfsg-4.debian.tar.xz]
メンテナ:
外部の資源:
- ホームページ [github.com]
類似のパッケージ:
Neural Network Package for Torch Framework
This package provides an easy and modular way to build and train simple or complex neural networks using Torch Framework:
* Modules are the bricks used to build neural networks. Each are themselves neural networks, but can be combined with other networks using containers to create complex neural networks:
+ Module: abstract class inherited by all modules. + Containers: container classes. + Transfer functions: non-linear functions. + Simple layers: simple network layer like `Linear`. + Table layers: layers for manipulating `table`s. + Convolution layers: several kinds of convolutions.
* Criterions compute a gradient according to a given loss function given an input and a target:
+ Criterions: a list of all criterions.
+ `MSECriterion`: the Mean Squared Error criterion used for regression;
+ `ClassNLLCriterion`: the Negative Log Likelihood criterion used for
classification.
* Additional documentation:
+ Overview of the package essentials including modules, containers
and training.
+ Training: how to train a neural network using optim.
+ Testing: how to test your modules.
+ Experimental Modules: a package containing experimental modules and
criteria.
This package is a core part of the Torch Framework.
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