Difference between revisions of "Machine Learning Resources"

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* [https://github.com/WillKoehrsen/pytorch_challenge/blob/master/Transfer%20Learning%20in%20PyTorch.ipynb PyTorch image classification using VGG-16]
 
* [https://github.com/WillKoehrsen/pytorch_challenge/blob/master/Transfer%20Learning%20in%20PyTorch.ipynb PyTorch image classification using VGG-16]
  
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==Object Recognition In Images==
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* [https://github.com/OlafenwaMoses/ImageAI Image AI] ()
  
 
==Articles==
 
==Articles==

Revision as of 08:05, 14 July 2019

Key Frameworks:

Commonly used loss functions including pointwise, pairwise, and listwise losses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and Normalized Discounted Cumulative Gain (NDCG). Multi-item (also known as groupwise) scoring functions. LambdaLoss implementation for direct ranking metric optimization. Unbiased Learning-to-Rank from biased feedback data.)

Neural Network Interpretability


Python Notebook Examples

Image Quality Assessment


Transfer Learning


Object Recognition In Images

Articles