neural networks
Might of the word embeddings
Three most important lessons about neural networks and word embeddings: 1. No free lunch, 2. Size matters, 3. Engineering matters
Predicting stock prices using recurrent neural networks (LSTM)
Just two days ago, I found an interesting project on GitHub. I was reminded about a paper I was reviewing for one journal some time ago, regarding stock price prediction using recurrent neural networks that proved to be quite good. I searched the web for recurrent neural networks for stock prediction and found the following […]
SchumaNN: Recurrent neural networks composing music
With 2 friends of mine (Team was: Maksim Belousov, Mike Phuycharoen, Nikola Milosevic (myself)) on 12th and 13th November I participated at the GreatUniHack that was held in John Dalton building of Manchester Metropolitan University. We were implementing idea of machine learning-based music composer, for which we later came with name SchumaNN. For some time […]