#9 Why Layer Normalization is a Game-Changer in Deep Learning!

Описание: Hey everyone, welcome back to Neural & Wires! 🚀

Today, we’re covering something super important for deep learning models—Layer Normalization!

📌 Why should you care?

If you’ve ever trained a neural network and it failed to converge, normalization might be the missing piece!
This technique stabilizes training, improves learning efficiency, and helps deep models work better.
Transformers, including GPT models, heavily depend on Layer Normalization to process information smoothly!
By the end of this video, you’ll fully understand how Layer Normalization works from scratch and why it’s better than traditional methods like Batch Normalization.

Let’s jump right in! 🚀

Links:
Google colab for the video: https://colab.research.google.com/dri...
GitHub repo for the video: https://github.com/kevinomerkilic/Cha...
Playlist of the whole Zero to Hero series so far:    • #1 Building a GPT Model from Scratch | AI ...  
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Supplementary links:
Attention is All You Need paper: https://arxiv.org/abs/1706.03762
OpenAI GPT-3 paper: https://arxiv.org/abs/2005.14165
OpenAI ChatGPT blog post: https://openai.com/blog/chatgpt/