nnet2 Directory Reference

Directory dependency graph for nnet2:

Files
file	am-nnet-test.cc [code]
file	am-nnet.cc [code]
file	am-nnet.h [code]
file	combine-nnet-a.cc [code]
file	combine-nnet-a.h [code]
file	combine-nnet-fast.cc [code]
file	combine-nnet-fast.h [code]
file	combine-nnet.cc [code]
file	combine-nnet.h [code]
file	decodable-am-nnet.h [code]
file	get-feature-transform.cc [code]
file	get-feature-transform.h [code]
	This file is modified from transform/lda-estimate.h It contains a class intended to be used in preconditioning data for neural network training.
file	mixup-nnet.cc [code]
file	mixup-nnet.h [code]
file	nnet-component-test.cc [code]
file	nnet-component.cc [code]
file	nnet-component.h [code]
file	nnet-compute-discriminative-parallel.cc [code]
file	nnet-compute-discriminative-parallel.h [code]
file	nnet-compute-discriminative.cc [code]
file	nnet-compute-discriminative.h [code]
file	nnet-compute-online.cc [code]
file	nnet-compute-online.h [code]
file	nnet-compute-test.cc [code]
file	nnet-compute.cc [code]
file	nnet-compute.h [code]
file	nnet-example-functions-test.cc [code]
file	nnet-example-functions.cc [code]
file	nnet-example-functions.h [code]
	Note on how to parse this filename: it contains functions relatied to neural-net training examples, mostly discriminative neural-net training examples, i.e.
file	nnet-example.cc [code]
file	nnet-example.h [code]
file	nnet-fix.cc [code]
file	nnet-fix.h [code]
file	nnet-functions.cc [code]
file	nnet-functions.h [code]
file	nnet-limit-rank.cc [code]
file	nnet-limit-rank.h [code]
file	nnet-nnet-test.cc [code]
file	nnet-nnet.cc [code]
file	nnet-nnet.h [code]
file	nnet-precondition-online-test.cc [code]
file	nnet-precondition-online.cc [code]
file	nnet-precondition-online.h [code]
file	nnet-precondition-test.cc [code]
file	nnet-precondition.cc [code]
file	nnet-precondition.h [code]
file	nnet-stats.cc [code]
file	nnet-stats.h [code]
file	nnet-update-parallel.cc [code]
file	nnet-update-parallel.h [code]
file	nnet-update.cc [code]
file	nnet-update.h [code]
	This header provides functionality for sample-by-sample stochastic gradient descent and gradient computation with a neural net.
file	online-nnet2-decodable-test.cc [code]
file	online-nnet2-decodable.cc [code]
file	online-nnet2-decodable.h [code]
file	rescale-nnet.cc [code]
file	rescale-nnet.h [code]
file	shrink-nnet.cc [code]
file	shrink-nnet.h [code]
file	train-nnet-ensemble.cc [code]
file	train-nnet-ensemble.h [code]
file	train-nnet.cc [code]
file	train-nnet.h [code]
file	widen-nnet.cc [code]
file	widen-nnet.h [code]