I'm releasing all the lectures (so far) for my deep learning class, CS182! This is an introductory deep learning course (advanced undergraduate + graduate) covering a broad range of deep learning topics. Website: https://t.co/0PaBOJElo9Playlist: https://t.co/21GvfFRcHo 🧵-> — Sergey Levine (@svlevine) March 13, 2021
Thanks for the feedback, everyone! Below is a slightly extended version based on all the awesome responses I received. Will probably extend it some time with more concrete methods for some of the categories some time later this semester 🙂 pic.twitter.com/p3budoESWB — Sebastian Raschka (@rasbt) March 10, 2021
That's a great release! – AMD GPU support via ROCm (binaries available directly from the installer menu)– Now possible to fit large models onto GPUs w/o external libraries: pipeline and model parallelism– determinants & eigenvalues via torch.linalg w/o switching to NumPy https://t.co/3QN8wxCN0W — Sebastian Raschka (@rasbt) March 5, 2021
GitHub – ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. – ml-tooling/best-of-ml-python — Read on github.com/ml-tooling/best-of-ml-python