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 […] Read more
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 […] Read more
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 […] Read more
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 […] Read more