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7 tutorials covering neural networks to the complete training loop. Start anywhere.
📬 New tutorial every Thursday • Next up: CNNs, Transformers, Attention Mechanisms, and RAG
If you've used ChatGPT, DALL-E, or any modern AI tool, you've interacted with neural networks. But what are they really?
At their core, neural networks are inspired by how our brains work—networks of interconnected neurons that fire together to process information. In AI, we've recreated this concept in code, building mathematical models that can learn patterns from data.
Here's the breakthrough: Instead of programming explicit rules (like "if email contains 'discount', mark as spam"), neural networks learn these rules themselves by looking at thousands of examples. Show a neural network 10,000 spam emails and 10,000 legitimate emails, and it figures out the patterns on its own.
This is why neural networks power everything from your email spam filter to ChatGPT's responses.
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