| FileSize | 429016 |
| MD5 | 7ABC85C2F999D67D2216968FADE716E7 |
| PackageDescription | 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. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | lua-torch-nn |
| PackageSection | interpreters |
| PackageVersion | 0~20171002-g8726825+dfsg-4 |
| SHA-1 | 25E605E23EE82554F485491EC3A814845BF18E2F |
| SHA-256 | D22F4C12746CA1AF8975A053AB4D326B3A71F8AED37AEBB9C51DA728DD80D2B7 |