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- Things I Learnt from fast.ai v3 https://towardsdatascience.com/10-new-things-i-learnt-from-fast-ai-v3-4d79c1f07e33 7 comments
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- Practical Deep Learning for Coders - Practical Deep Learning https://course.fast.ai 177 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Universal approximation theorem - Wikipedia https://en.wikipedia.org/wiki/Universal_approximation_theorem 4 comments
- Regularization (mathematics) - Wikipedia https://en.wikipedia.org/wiki/Regularization_(mathematics) 2 comments
- Redirect http://www.fast.ai/2018/04/29/categorical-embeddings/ 1 comment
- [1712.09913] Visualizing the Loss Landscape of Neural Nets https://arxiv.org/abs/1712.09913 0 comments
- Another data science student's blog – The 1cycle policy https://sgugger.github.io/the-1cycle-policy.html 0 comments
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