Deep Learning Lecture Series (Spring 2021) Welcome to lecture 2 of “Deep Learning“ series Today we will discuss - Back Propagation - the basics of Python 0:00 Intro & Objectives 7:02 Back Propagation 19:00 Notion of Computational Graph & Example 1 38:02 BackProp Example 2 56:29 BackProp and Gradient Descent 1:10:48 Python Linear classifier example Lecture Notes : ------------------------------------------------------------------------------------------------- Connect with me here: Twitter: Email: hey@ ------------------------------------------------------------------------------------------------- Below are playlists on ML, Data Science and Deep Learning. 1. MLOps Playlist (2021): 2a. Deep Learning Playlist: 2b. Advanced prediction models: http
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