Backpropagation — Topic 79 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning This video explains the relationship between partial derivatives and the backpropagation approach used widely in training artificial neural networks, including deep learning networks. There are eight subjects covered comprehensively in the ML Foundations series and this video is from the fourth subject, “Calculus II: Partial Derivatives & Integrals“. More detail about the series and all of the associated open-source code is available at The playlist for the Calculus subjects is here: Jon Krohn is Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University, New York University, and leading industry conferences, as well as online via O’Reilly, his YouTube channel, an