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Implementing math in deep learning papers into efficient PyTorch code: SimCLR Contrastive Loss
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July 8, 2023
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Artificial Intelligence
Project Talks: Deep Learning Framework Comparison What’s WAT.ai? What’s your project all about? Hear from our team members! Project Details Wrap up
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July 7, 2023
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Artificial Intelligence
Deep Learning in Recommender Systems: A Primer NCF (Singapore University, 2017) Wide & Deep (Google, 2016) DCN (Google, 2017) DeepFM (Huawei, 2017) DLRM (Meta, 2019) DHEN (Meta, 2022) Summary
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June 29, 2023
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Artificial Intelligence
What Exactly Does a Data Scientist Do? It’s not all self-driving cars, ChatGPT, and Deep Learning There’s quite a bit more PowerPoint than you may think (or want) Clean data? Hold my beer You’re at all times learning It’s a team sport And there you’ve gotten it! Another thing — could you be in my 1%?
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June 26, 2023
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Artificial Intelligence
Deep Learning in Recommender Systems: A Primer
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June 26, 2023
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Artificial Intelligence
Theoretical Deep Dive into Linear Regression The Data Generation Process What Are We Actually Minimizing? Minimize The Loss Function Conclusion
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June 26, 2023
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Artificial Intelligence
5 Deep Learning Mistakes and Find out how to Avoid Them The Legend of the Overfitting Monster Key takeaways to slay the Overfitting Monster: The Sorcery of Misinterpreted Metrics Key takeaways to see through the sorcery: The Illusion of Data Independence Key takeaways to dispel the illusion: The Fallacy of the Black-Box Model Key takeaways to avoid the fallacy: The Pitfall of Ignoring the Baseline Key takeaways to keep away from the pitfall:
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June 24, 2023
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Artificial Intelligence
Tinygrad: A Lightweight Deep Learning Library for Beginners
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June 22, 2023
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Artificial Intelligence
Tinygrad: A Lightweight Deep Learning Library for Beginners
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June 21, 2023
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Artificial Intelligence
A Easy Conceptual Overview of Neural Network and Deep Learning
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June 19, 2023
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