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github.com/yusugomori/deeplearning
module
Version:
v0.0.0-...-739dfd1
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Published: Dec 4, 2017
License: MIT
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README
README
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Deep Learning (Python, C, C++, Java, Scala, Go)
Classes :
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 .)
References :
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
Publication :
More detailed Java implementations are introduced in my book, Java Deep Learning Essentials.
The book is available from Packt Publishing or Amazon .
Bug reports / contributions / donations are deeply welcome.
Bitcoin wallet address: 34kZarc2uBU6BMCouUp2iudvZtbmZMPqrA
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