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1. 1▶But what is cross-entropy? | Compression is Intelligence Part 2Neural networksNotes
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2. 2▶But how do AI images and videos actually work? | Guest video by Welch LabsNeural networksNotes
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3. 3▶Large Language Models explained brieflyNeural networksNotes
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4. 4▶How might LLMs store facts | Deep Learning Chapter 7Neural networksNotes
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5. 5▶Attention in transformers, step-by-step | Deep Learning Chapter 6Neural networksNotes
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6. 6▶Transformers, the tech behind LLMs | Deep Learning Chapter 5Neural networksNotes
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7. 7▶Backpropagation calculus | Deep Learning Chapter 4Neural networksNotes
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8. 8▶Backpropagation, intuitively | Deep Learning Chapter 3Neural networksNotes
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9. 9▶Gradient descent, how neural networks learn | Deep Learning Chapter 2Neural networksNotes
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10. 10▶But what is a neural network? | Deep learning chapter 1Neural networksNotes
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11. 11▶Deep Learning Chapter 10 Sequence Modeling: Recurrent and Recursive Nets presented by Ian GoodfellowDeep Learning Book Companion VideosNotes
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12. 12▶Deep Learning Book Club CH11 Practical MethodologyDeep Learning Book Companion VideosNotes
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13. 13▶Deep Learning Book Club CH9 CNNs live streamDeep Learning Book Companion VideosNotes
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14. 14▶Deep Learning Book Club CH8 live streamDeep Learning Book Companion VideosNotes
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15. 15▶Deep Learning Book Club CH7 live streamDeep Learning Book Companion VideosNotes
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16. 16▶Deep Learning Chapter 6 Deep Feedforward Networks presented by Timothee CourDeep Learning Book Companion VideosNotes
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17. 17▶Deep Learning Book Club CH5 (Part 2) live streamDeep Learning Book Companion VideosNotes
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18. 18▶Deep Learning Chapter 4 Numerical Computation presented by Yaroslav BulatovDeep Learning Book Companion VideosNotes
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19. 19▶Deep Learning Chapter 3 Information Theory presented by Yaroslav BulatovDeep Learning Book Companion VideosNotes
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20. 20▶Deep Learning Book Club CH5 live streamDeep Learning Book Companion VideosNotes
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