Complete introduction to deep learning with various architechtures. Maths involved is also included. Code samples for building architechtures is included using keras. This repo also includes implementation of Logical functions AND, OR, XOR.

Implementing Machine Learning Techniques just using Python.

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 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.