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