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Jan authored and Jan committed Jan 21, 2018
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Expand Up @@ -8,15 +8,11 @@ its extensive use of unittests assures a high level of reliability and correctne

News
''''''''''''''''''''''''''''''''''''''''''''''''''''
- New activation functions added
- Unit tests up to date
- Prepared repository for autoencoder module
- Prepared for license change
- Auto encoder module added including denoising, sparse, contractive, slowness AE's
- Unittests added, examples and tutorials will follow next week

- Upcoming: MDP integration will be added
- Upcoming: Auto encoders will be added
- Upcoming (mid-term): Feed Forward neural networks will be added

- Future: Feed Forward neural networks will be added
- Future: MDP integration
- Future: Deep Boltzmann machines will be added

Expand All @@ -25,51 +21,71 @@ Features index

- Principal Component Analysis (PCA)

- Zero Phase Component Analysis (ZCA)
--- Zero Phase Component Analysis (ZCA)

- Independent Component Analysis (ICA)

- centered BinaryBinary RBM (BB-RBM)
- Restricted Boltzmann machines

- centered GaussianBinary RBM (GB-RBM) with fixed variance
--- centered BinaryBinary RBM (BB-RBM)

- centered GaussianBinaryVariance RBM (GB-RBM) with trainable variance
--- centered GaussianBinary RBM (GB-RBM) with fixed variance

- centered BinaryBinaryLabel RBM (BBL-RBM)
--- centered GaussianBinaryVariance RBM (GB-RBM) with trainable variance

- centered GaussianBinaryLabel RBM (GBL-RBM)
--- centered BinaryBinaryLabel RBM (BBL-RBM)

- centered BinaryRect RBM (BR-RBM)
--- centered GaussianBinaryLabel RBM (GBL-RBM)

- centered RectBinary RBM (RB-RBM)
--- centered BinaryRect RBM (BR-RBM)

- centered RectRect RBM (RR-RBM)
--- centered RectBinary RBM (RB-RBM)

- centered GaussianRect RBM (GR-RBM)
--- centered RectRect RBM (RR-RBM)

- centered GaussianRectVariance RBM (GRV-RBM)
--- centered GaussianRect RBM (GR-RBM)

- Gibbs Sampling
--- centered GaussianRectVariance RBM (GRV-RBM)

- Persistent Gibbs Sampling
--- Sampling Algorithms for RBMs

- Parallel Tempering Sampling
------ Gibbs Sampling

- Independent Parallel Tempering Sampling
------ Persistent Gibbs Sampling

- Annealed Importance Sampling (AIS)
------ Parallel Tempering Sampling

- reverse Annealed Importance Sampling (AIS)
------ Independent Parallel Tempering Sampling

- Contrastive Divergence (CD)
--- Training for RBMs

- Persistent Contrastive Divergence (PCD)
------ Exact gradient (GD)

- Tempering Sampling Contrastive Divergence (PT)
------ Contrastive Divergence (CD)

- Independent Tempering Sampling Contrastive Divergence (IPT)
------ Persistent Contrastive Divergence (PCD)

- Exact Gradient (GD)
------ Independent Parallel Tempering Sampling

--- Log-likelihodd estimation for RBMs

------ Exact Partition function

------ Annealed Importance Sampling (AIS)

------ reverse Annealed Importance Sampling (AIS)

- Autoencoder

--- Centered denoising autoencoder including various noise functions

--- Centered contractive autoencoder

--- Centered sparse autoencoder

--- Centered slowness autoencoder

--- Several regularization methods like l1,l2 norm, Dropout, gradient clipping, ...


Scientific use
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