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Autoregressive Models in Deep Learning - A Brief Survey | George Ho
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A machine learning glossary for hackers ยท Michael I Lewis
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| | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.
| | bdtechtalks.com
Machine learning: What is the transformer architecture? - TechTalks
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| | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.
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The Complete Guide to Generative Adversarial Networks [GANs]
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| | What are Generative Adversarial Networks and how do they work? Learn about GANs architecture and model training, and explore the most popular generative models variants and their limitations.
| | bdtechtalks.com
A simple guide to gradient descent in machine learning - TechTalks
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| Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.