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# Getting started with deep learning
From zero to training your first Transformer — in one read.
## 1. Core concepts
- Perceptrons and activation functions
- Backpropagation and gradient descent
```python
def relu(x):
return max(0, x)
def relu(x):
return max(0, x)
Inline math like $e = mc^2$ renders fine too.
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Getting started with deep learning
From zero to training your first Transformer — in one read.
1. Core concepts
• Perceptrons and activation functions
• Backpropagation and gradient descent
def relu(x):
return max(0, x)
return max(0, x)
Inline math like e = mc² renders fine too.
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