3 September 2016Conditional Restricted Boltzmann Machine, Machine Learning, Neural nets Possible Addition of NARX Network to Conditional Restricted Boltzmann Machine It has been over three months since my last post, due to working away from home for some of the summer, a […] 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
24 September 2015Conditional Restricted Boltzmann Machine, Feature extraction, Particle Swarm Optimisation Runge-Kutta Methods As stated in my previous post I have been focusing on getting some meaningful features as possible inputs to my machine learning […] Read more