Pre Work for Deep Learning Copy
This block will teach you all the prerequisites you need to know before learning Deep Learning.
Mathematics for Deep Learning (Linear Algebra)
This module will drive you through all the essential concepts like Linear Algebra required for implementing Mathematicsto implement mathematics.
Functions and Convex optimization
Convex Optimization is like the heart of most of the ML algorithms. It prefers studying the problem of minimising convex functions to convex sets. This module will teach you how to use all the functions and convex optimisation for your ML algorithms.
Loss Function is a technique for prediction error of neural networks.
Introduction to Neural Networks and Deep Learning
This module will teach you everything you need to know about the introduction to Neural Networks and Deep Learning.