TensorFlow-and-DeepLearning-Tutorial

Why we included this project

This is the material from a real TensorFlow and deep learning course taught in 2016, and that makes a difference: the lessons follow a deliberate sequence instead of jumping between unrelated snippets. Season 1 covers TensorFlow basics, fully connected networks, and convolutional networks; Season 2 moves into natural language processing. Because the tutorials are in Chinese, they are a practical fit for Chinese-speaking learners who want explanations in their own language. The course files, including the notebooks, give self-study students a ready-made syllabus, and instructors can borrow the structure for their own classes. It is a honest look at 2016-era TensorFlow, with the strengths and limitations of that period.