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- GitHub - dair-ai/Transformers-Recipe: 🧠 A quick recipe to learn all about Transformers https://github.com/dair-ai/Transformers-Recipe 0 comments
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- Understanding the receptive field of deep convolutional networks | AI Summer https://theaisummer.com/receptive-field/ 1 comment
- How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer https://theaisummer.com/attention/ 0 comments
- Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch | AI Summer https://theaisummer.com/einsum-attention/ 0 comments
- In-layer normalization techniques for training very deep neural networks | AI Summer https://theaisummer.com/normalization/ 0 comments
- Intuitive Explanation of Skip Connections in Deep Learning | AI Summer https://theaisummer.com/skip-connections/ 0 comments
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- Google News and Leo Tolstoy: visualizing Word2Vec word embeddings using t-SNE / Хабр https://habr.com/ru/company/mailru/blog/449984/ 0 comments
- The Transformer Family https://lilianweng.github.io/lil-log/2020/04/07/the-transformer-family.html 0 comments
- Scalability in Machine Learning: Grow your model to serve millions of users | AI Summer https://theaisummer.com/scalability/ 0 comments
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