Log of all the papers I've read and notes I compiled.
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deeplearning-notes
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
[arxiv]
- A systematic study of the class imbalance problem in convolutional neural networks [arxiv]
- A disciplined approach to neural network hyper-parameters: Part 1 [arxiv]
- An overview of gradient descent optimization algorithms; Sebastian Ruder [link]
- Interpretable Machine Learning (A Guide for Making Black Box Models Explainable.) [link]
- Machine Learning Yearning, Technical Strategy for AI engineers by Andrew Ng (Draft Version)
- A Systems Perspective to Reproducibility in Production Machine Learning Domain [link]
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Log of all the papers I've read and notes I compiled.
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