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 ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

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 ...

If you don't have git installed, you can download a zip or tarball of the latest code: https://github.com/nice-tools/nice/archives/master ...