This package provides an easy and modular way to build and train simple or complex neural networks using Torch:
Sequential
, Parallel
, Concat
and NaN
;Tanh
and Sigmoid
;Linear
, Mean
, Max
and Reshape
;table
s like SplitTable
, ConcatTable
and JoinTable
;Temporal
, Spatial
and Volumetric
convolutions;Criterion
, the abstract class;MSECriterion
: the Mean Squared Error criterion used for regression;ClassNLLCriterion
: the Negative Log Likelihood criterion used for classification;StochasticGradient
;