Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

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 ...

The AI Software Development Kit, or AI SDK for short, is a set of Python libraries. These libraries provide building blocks for automating the creation, packaging, and testing of inference pipelines ...