A minimalist Deep Learning library

Automatic differentiation in Numpy

When you peek under the hood of a deep learning library, things will look pretty complex. That’s because they use a lot of abstractions to handle a wide variety of cases. But the core code of a Deep Learning library is actually not that complex at all. In fact, you’d... [Read More]
Tags: Machine Learning, Computational Graphs

Ensemble learning

Explaining how and what ensembles learn

You may have wondered why there are so many different algorithms for machine learning - after all, would it not be sufficient with one algorithm? A famous result is the no free lunch theorem, which tells us that no one algorithm will be optimal for every problem. [Read More]
Tags: Machine Learning