DBN: Deep Belief Nets
CDBN: Deep Belief Nets w/ continuous-valued inputs
RBM: Restricted Boltzmann Machine
CRBM: Restricted Boltzmann Machine w/ continuous-valued inputs
dA: Denoising Autoencoders
SdA: Stacked Denoising Autoencoders
LogisticRegression: Logistic Regression
HiddenLayer: Hidden Layer of Neural Networks
MLP: Multiple Layer Perceptron
Dropout: Dropout MLP
CNN: Convolutional Neural Networks (See dev branch.)
Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle: Greedy Layer-Wise Training of Deep Networks, Advances in Neural Information Processing Systems 19, 2007
P. Vincent, H. Larochelle, Y. Bengio, P.A. Manzagol: Extracting and Composing Robust Features with Denoising Autoencoders, ICML' 08, 1096-1103, 2008
DeepLearningTutorials https://github.com/lisa-lab/DeepLearningTutorials
Yusuke Sugomori: Stochastic Gradient Descent for Denoising Autoencoders, http://yusugomori.com/docs/SGD_DA.pdf
More detailed Java implementations are introduced in my book, Java Deep Learning Essentials.
The book is available from Packt Publishing or Amazon.
Bitcoin wallet address: 34kZarc2uBU6BMCouUp2iudvZtbmZMPqrA
