Models for image processing and the visual domain in general are the flagships riding the deep learning wave today. Models for the auditive domain have not yet shown quite the same level of effectiveness, mostly due to the enormous range of timescales constituting meaningful sound (from fractions of milliseconds to minutes or even longer). Nevertheless […]
An introduction to AI and neural networks with both theory and practice classes.
Neural Networks and the Distorted Automation of Intelligence as Statistical Inference
“The zoo of neural network types grows exponentially. One needs a map to navigate between many emerging architectures and approaches. Fortunately, Fjodor van Veen from Asimov institute compiled a wonderful cheatsheet on NN topologies. If you are not new to Machine Learning, you should have seen it before.” (Andrew Tchircoff on Medium) → See the complete […]
A code project for neural music generation by Vincent Herrmann.