-
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.
- My deep learning projects are here.
Bitcoin wallet address: 1QAoYw5Y3opvah2APf4jVcpD6UAHyC3k7s