chiphuyen/stanford-tensorflow-tutorials ? reverse-engineered prompt

Build me a clean course companion repo for Stanford’s TensorFlow for Deep Learning Research class.

I want it to include runnable Python examples, simple assignment starter files, and setup instructions so someone can follow along with the lectures and try the code themselves. Make it organized in a way that feels like a tutorial collection, with separate folders for examples, assignments, and older course materials if needed.

Please keep it focused on TensorFlow and deep learning basics, especially the kind of material used in an intro research course. Use Python 3.6 and TensorFlow 1.4.1 style code where it makes sense, and make sure the examples are easy to read and learn from. If you need to check anything current, look up the docs online first.

I’d like it to feel polished and usable for students, not like a rough dump of scripts.