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HPR3339: Linux Inlaws S01E30: Politicians and artificial intelligence part 2
Hacker Public Radio
English - May 20, 2021 00:00 - 27.5 MB - ★★★★ - 34 ratingsTechnology News Tech News community radio tech interviews linux open hobby software freedom Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
After successfully navigating through the shallow (or not-so-shallow) depths of the first episode on deep learning fundamentals, our two heroes tackle a more concrete topic in this episode: How to use the damn stuff! No expenses will be spared to bring to the listeners the finer details of tensors, TensorFlow and other frameworks which serve as the basis for modern artificial intelligence / machine learning applications running on back-propagation networks (see the first episode on the foundations). Lifting the curtain even more, all will be revealed about a little corner shop called "Google" (well, almost all :-).
Links:
Torch: http://torch.ch
PyTorch: https://pytorch.org
TensorFlow: https://www.tensorflow.org
Lua: http://www.lua.org
BigTable: https://en.wikipedia.org/wiki/Bigtable
BigFS: https://en.wikipedia.org/wiki/Google_File_System
Google's inner workings: https://www.panmacmillan.com/authors/david-a-vise/the-google-story/9781509889211
TPUs: https://en.wikipedia.org/wiki/Tensor_Processing_Unit
More DL frameworks: https://en.wikipedia.org/wiki/Comparison_of_deep-learning_software
TIOBE index: https://www.tiobe.com/tiobe-index
Stackoverflow survey: https://insights.stackoverflow.com/survey/2020