This resource is a 3-layer self-encoder plus matlab code for sparse regular term constraints. The hidden layer activation function selects the sigmoid function, and the output layer selects the linear function. The program uses a standard data set sonar as an example. This method can be used for unsupervised representation learning, data compression, multi-task learning, etc.

Filename	Size	Update
稀疏自动编码器的matlab代码\AECostFunction.m	474	2018-07-19
稀疏自动编码器的matlab代码\AE_train.m	305	2018-07-19
稀疏自动编码器的matlab代码\df.m	73	2018-07-19
稀疏自动编码器的matlab代码\f.m	58	2018-07-19
稀疏自动编码器的matlab代码\isLegal.m	107	2018-07-19
稀疏自动编码器的matlab代码\lbfgsAdd.m	691	2018-07-19
稀疏自动编码器的matlab代码\main_MLR.m	238	2018-07-19
稀疏自动编码器的matlab代码\minFunc.m	42745	2018-07-19
稀疏自动编码器的matlab代码\minFunc_processInputOptions.m	4103	2018-07-19
稀疏自动编码器的matlab代码\polyinterp.m	4158	2018-07-19
稀疏自动编码器的matlab代码\sonar.txt	223899	2018-07-19
稀疏自动编码器的matlab代码\WolfeLineSearch.m	10590	2018-07-19
稀疏自动编码器的matlab代码	0	2018-07-19

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