Neural Networks From Scratch

Derivatives in One, Two, and a Billion Variables

A deep dive into differentiation

Nov 25, 2025 • Tivadar Danka

Computational Graphs in Python

Neural Networks From Scratch lecture notes 02

Oct 24, 2025 • Tivadar Danka

Introduction to Computational Graphs

Neural Networks From Scratch lecture notes 01

Oct 9, 2025 • Tivadar Danka

Vectors and Matrices

Neural Networks From Scratch lecture notes 00

Sep 29, 2025 • Tivadar Danka

Forward vs Backward Differentiation

The algorithm that makes deep learning possible

Jul 16, 2025 • Tivadar Danka

The Derivatives of Computational Graphs

Forward-mode differentiation and its shortcomings

May 30, 2025 • Tivadar Danka

Computational Graphs and the Forward Pass

Reverse-engineering the computational graph interface

May 23, 2025 • Tivadar Danka

Computational Graphs as Neural Networks

Neural Networks From Scratch, Part II

May 19, 2025 • Tivadar Danka

Introduction to Computational Graphs

Neural Networks From Scratch, Part I

May 14, 2025 • Tivadar Danka

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