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L4.3 Vectors, Matrices, and Broadcasting
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Intro to Deep Learning and Generative Models Course - L4.3 Vectors, Matrices, and Broadcasting

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This course includes

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

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Sebastian's books: https://sebastianraschka.com/books/ Computational libraries such as NumPy and PyTorch extend linear algebra concepts in useful ways to make its usage more convenient in practice. In this video, we will learn about broadcasting, which is a concept for creating implicit dimensions for matrix-vector addition and other operations. 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/4pnoymfFiYM 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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