lua-torch-nn 0~20171002-g8726825+dfsg-4 (amd64 binary) in ubuntu disco
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;
+ `ClassNLLCriter
classific
.
* 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.
Details
- Package version:
- 0~20171002-g8726825+dfsg-4
- Status:
- Obsolete
- Component:
- universe
- Priority:
- Optional
Downloadable files
- lua-torch-nn_0~20171002-g8726825+dfsg-4_all.deb (361.4 KiB)
Package relationships
- Suggests: