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Not every deep learning paper is great. Is that a problem?
Not every deep learning paper is great. Is that a problem?
ratings:
Length:
18 minutes
Released:
Feb 11, 2019
Format:
Podcast episode
Description
Deep learning is a field that’s growing quickly. That’s good! There are lots of new deep learning papers put out every day. That’s good too… right? What if not every paper out there is particularly good? What even makes a paper good in the first place? It’s an interesting thing to think about, and debate, since there’s no clean-cut answer and there are worthwhile arguments both ways. Wherever you find yourself coming down in the debate, though, you’ll appreciate the good papers that much more.
Relevant links:
https://blog.piekniewski.info/2018/07/14/autopsy-dl-paper/
https://www.reddit.com/r/MachineLearning/comments/90n40l/dautopsy_of_a_deep_learning_paper_quite_brutal/
https://www.reddit.com/r/MachineLearning/comments/agiatj/d_google_ai_refuses_to_share_dataset_fields_for_a/
Relevant links:
https://blog.piekniewski.info/2018/07/14/autopsy-dl-paper/
https://www.reddit.com/r/MachineLearning/comments/90n40l/dautopsy_of_a_deep_learning_paper_quite_brutal/
https://www.reddit.com/r/MachineLearning/comments/agiatj/d_google_ai_refuses_to_share_dataset_fields_for_a/
Released:
Feb 11, 2019
Format:
Podcast episode
Titles in the series (100)
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