Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Our new podcasts helps you learn English with real conversations at an easy level. Listen to the trailer to find out more. Hello! I'm Neil and I want to tell you about our new podcast to help you ...

Will we still be speaking in an English we recognise in a thousand years' time? Alice and Neil make some educated guesses!

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

[v.2.0] We removed TensorFlow from the dependencies. After all, it changes its APIs quite often, and we don't expect you to have a GPU. Instead, NumPy is used for inference. This module is designed to ...