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Nice glossary!, I miss some terms such as regularization, sequence embedding, optimization methods (ADAM, SADAM ...), transfer learning, one-shot learning, weight initialization, test time augmentation... but in general it covers few a lot of terms. I would collaborate anytime soon!


Feel free to collaborate adding these new terms or improving the already present!




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