DataSpoof
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CHEATSHEETS for Convolutional neural network.
How AI technologies are being used to better understand retinal diseases

AIRA, an artificial intelligence retina analyser, is the result. Being a pattern recognition use case, AI was the obvious solution. PixelPlex was originally given a ‘large array’ of data containing images from fundus cameras, which contained various symptoms and anatomical structures of the human eye, from hemorrhages to arteries and veins. The company added its own data sets from later research, to be used in neural network training.

https://artificialintelligence-news.com/2021/05/28/how-ai-technologies-are-being-used-to-better-understand-retinal-diseases/
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Unpopular opinion: NLP as a field is moving at a break-neck speed how to get a good hang of it? many asked. While Github Repos, MOOCs, videos, papers, datasets, code, and medium posts are good sources, you can't chase millions of them. The trick is to nail the basics down and accelerate your learning speed. It really pays to get your basics right.
I recommend this brilliant book.

I got all my Neural-NLP basics and advanced lessons from this book, still use it as a reference. (By all means, add other resources, if a particular topic is missing. ). The book is pricey but fortunately, I have a free PDF for you.
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goldberg_2017_book_draft.pdf
6.5 MB
goldberg_2017_book_draft.pdf