For anyone not wanting to press the link/want a summary, this is a course "targeting the advanced undergraduate and PhD level students". It says that "students will build a basic deep learning library, comparable to a very minimal version of PyTorch or TensorFlow, scalable to a reasonably-sized system (e.g., with fast GPU implementations of operations)." It requires knowledge both of C++ and Python.<p>The professors behind this course is Tianqi Chen and Zico Kolter, both assistant professors at Carnegie Mellon.<p>Sounds like an interesting course, like that they aim for the students to build their own Deep Learning library. It feels like a logical step for anyone wanting to get a deep understanding of this topic.
Wow. How did I miss this gem. It seems the course is already finished so we can't participate in it anymore but we can still watch the lectures.<p>Thank you for sharing!