Deep Learning Course for Beginners

From the creator

This deep learning course is designed to take you from beginner to proficient in deep learning. You will learn the fundamental concepts, architectures, and applications of deep learning in a clear and practical way. So get ready to build, train, and deploy models that can tackle real-world problems across various industries. Course created by @AyushSinghSh GitHub: https://github.com/ayush714/core-deep-learning-course/tree/main ❤️ Try interactive JavaScript courses we love, right in your browser: https://scrimba.com/freeCodeCamp-JavaScript (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ 0:00:00 Intro 0:03:07 Getting started 0:05:07 Vectors 0:21:51 Operation on vectors 0:38:52 Matrices 0:52:02 Operation on Matrices 0:52:27 Matrix Scalar Multiplication 0:55:47 Addition of Matrices 0:59:27 Properties of Matrix addition 1:03:07 Matrix Multiplication 1:08:02 Properties of Matrix Multiplication 1:18:32 Linear Combination Concept 1:36:20 Span 1:50:57 Linear Transformation 2:05:30 Transpose 2:14:02 Properties of Transpose 2:19:52 Dot Product 2:25:22 Geometric Meaning of Dot Product 2:34:32 Types of Matrices 3:04:22 Determinant 3:11:17 Geometric Meaning of Determinant 3:15:42 Calculating Determinant 3:23:37 Properties of Determinant 3:27:22 Rule of Sarus 3:48:42 Minor 3:56:49 Cofactor of a Matrix 4:00:42 Steps to calculate Cofactor of a Matrix 4:03:17 Adjoint of a Matrix 4:18:47 Trace of a Matrix 4:17:22 Properties of Trace 4:38:17 System of Equations 5:03:07

Published 2024-05-06 · Watch on YouTube ↗
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