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Chapter 0: Fundamentals - ARENA

learn.arena.education · 769 words · saved by 1 readers

Please send any problems / bugs on the #errata channel in the Slack group, and ask any questions on the dedicated channels for this chapter of material. If you want to change to dark mode, you can do this by clicking the three horizontal lines in the top-right, then navigating to Settings → Theme. Links to all other chapters: (0) Fundamentals, (1) Transformer Interpretability, (2) RL. Today we'll be practicing batched matrix operations in PyTorch by writing a basic graphics renderer. We'll start with an extremely simplified case and work up to rendering your very own 3D Pikachu! We'll also be touching on some general topics which will be important going forwards in this course, such as: This section introduces the key ideas and concepts in today's exercises, and guides you through some basic functions involving creating & using 2D rays. In the next section, you'll extend your work from the first section to perform batched operations, i.e. operations over several different dimensions at

[0.1] - Ray Tracing Colab: exercises | solutions Please send any problems / bugs on the #errata channel in the Slack group , and ask any questions on the dedicated channels for this chapter of material. If you want to change to dark mode, you can do this by clicking the three horizontal lines in the top-right, then navigating to Settings → Theme. Links to all other chapters: (0) Fundamentals , (1) Transformer Interpretability , (2) RL . Introduction Today we'll be practicing batched matrix operations in PyTorch by writing a basic graphics renderer. We'll start with an extremely simplified case

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