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Category: RBM

31 March 2016Machine Learning, RBM

Parallel Tempering and Adaptive Learning Rates in Restricted Boltzmann Machine Learning

It has been a while since my last post and in the intervening time I have been busy working on the code […]

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3 February 2016C++, Conditional Restricted Boltzmann Machine, Feature extraction, Machine Learning, Neural nets, Octave, RBM

Refactored Denoising Autoencoder Update #2

Below is this second code update. % select rolling window length to use – an optimisable parameter via pso? rolling_window_length = 50 […]

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21 January 2016Conditional Restricted Boltzmann Machine, Machine Learning, Octave, RBM

Refactored Denoising Autoencoder Code Update

This code box contains updated code from my previous post. The main change is the inclusion of bias units for the directed […]

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18 January 2016Conditional Restricted Boltzmann Machine, Machine Learning, Octave, RBM

Refactored Denoising Autoencoder Code

It has been quite a challenge but I now have a working first attempt at Octave code for autoencoder pre-training of weights for […]

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