Neural networks & AI

1. 1
   

   But what is a neural network? | Deep learning chapter 1

   3Blue1Brown

   Start here: what a neural network actually is, visually.

2. 2
   

   Gradient descent, how neural networks learn | Deep Learning Chapter 2

   3Blue1Brown

   Gradient descent: how a network learns from its mistakes.

3. 3
   

   Backpropagation, intuitively | Deep Learning Chapter 3

   3Blue1Brown

   Backpropagation, the algorithm behind all of deep learning, intuitively.

4. 4
   7:58

   Large Language Models explained briefly

   3Blue1Brown

   Large language models in eight minutes: the big picture before the details.

5. 5
   

   Attention in transformers, step-by-step | Deep Learning Chapter 6

   3Blue1Brown

   Attention, the mechanism that made transformers (and ChatGPT) possible.

6. 6
   

   The spelled-out intro to neural networks and backpropagation: building micrograd

   Andrej Karpathy

   Hands-on: Andrej Karpathy builds a tiny neural network library from scratch.

7. 7
   

   Let's build GPT: from scratch, in code, spelled out.

   Andrej Karpathy

   The capstone: build a small GPT from scratch, in code, step by step.

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