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L3.4 Perceptron in Python using NumPy and PyTorch
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Intro to Deep Learning and Generative Models Course - L3.4 Perceptron in Python using NumPy and PyTorch

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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/ After we learned how the perceptron algorithm works and how we can implement code in Python efficiently, let's put two and two together and implement a perceptron in Python (and PyTorch)! Perceptron in NumPy: https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L03/code/perceptron-numpy.ipynb Perceptron in PyTorch: https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L03/code/perceptron-pytorch.ipynb ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/Fj7BgxI73TA 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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