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L4.4 Notational Conventions for Neural Networks
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Intro to Deep Learning and Generative Models Course - L4.4 Notational Conventions for Neural Networks

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  • 40.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Sebastian's books: https://sebastianraschka.com/books/ While we are free to use any linear algebra notation we like as long as it is correct, there are certain conventions in the deep learning community. In this video, we will go over some of these conventions for computing the values in a forward pass of a neural network. Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L04_linalg-dl_slides.pdf ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/XswEBzNgIYc The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51 A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/dl-course.html ------- If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka

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