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README.md

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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