chain-rule

Here is the content of ML committe in season 2025

Implementing Machine Learning Techniques just using Python.

C++ version of Andrej Karpathy's micrograd with Keras-like Sequential API and auto differentiation engine, facilitating Tensor arithmetic using chain-rule & topological sort, mini-batch Gradient Descent, and learning rate scheduling

This repository contains my notes of Calculus and Statistics that I taught in the Department of Mathematics at The University of Texas at Tyler.

Demonstrate how to derive and implement the backward computing of matrix multiplication.

This web-based tool allows users to input and process formal grammars, specifically focusing on removing chain rules

A complete Multi-Layer Perceptron built using only raw NumPy — manual forward propagation, categorical cross-entropy loss, and hand-derived backpropagation via the chain rule — trained on the real MNIST handwritten digit dataset (94.5% test accuracy, no PyTorch or autograd used).

Notebook edukatif yang membangun intuisi bahwa neural network adalah tumpukan operasi matriks, dan bahwa backpropagation adalah aplikasi chain rule.

This repository is related to all about Multivariate Calculus for Machine Learning - an A-Z guide to the world of Multivariate Calculus for Machine Learning. This supplement contains the implementation of Multivariate Calculus for Machine Learning (in Python)

Explore the Math behind it by designing a neural network, derive the parameter gradients with respect to loss function and update the parameter weights and update the weight parameters using the gradients without the help of in-built libraries.