There are many DNN algorithm like ConvNet, RBM, Auto-Encoder. The most popular one is Convolutional Networks from Yann Lecun, that is mainly for image recognition. There is an implementation called Caffe which has Matlab wrapper. https://github.com/BVLC/caffe
Both regression and classification are supported in this framewokr.
There are many DNN algorithm like ConvNet, RBM, Auto-Encoder. The most popular one is Convolutional Networks from Yann Lecun, that is mainly for image recognition. There is an implementation called Caffe which has Matlab wrapper. https://github.com/BVLC/caffe
Both regression and classification are supported in this framewokr.
For deep learning of regression function i suggest you to learn 'Statistical Learning Theory- Veladimir Vapnik'. Support Vector Regression (SVR) is a powerful tool for solving regression function with statistical theory.
Good Luck
Maybe this can help: http://www1.i2r.a-star.edu.sg/~xlli/publication//RUL.pdf
A very useful toolbox in matlab is available here for Deep belief network and DNN https://www.mathworks.com/matlabcentral/fileexchange/42853-deep-neural-network
but for regression task the crossentropy function must be replaced by Square function.
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