Deep Learning with Yacine on MSN
Gradient descent from scratch in Python – step by step tutorial
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Deep Learning with Yacine on MSN
Understanding forward propagation in neural networks with Python – step by step
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
Released in April 2025, the book has sold over 2,000 copies and seeks to make coding approachable for children, especially as ...
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results