Practical Deep Learning For Coders, Part 1（5-7）
视频共7个，每个大概1个半小时，由于视频太大分成两部分，本部分是课程5-7。
Practical Deep Learning For Coders, Part 1, Base on Torch
taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down.
1.Image Recognition
2.CNNS
3.Overfitting
4.Embeddings
5.NLP
6.RNNS
7.CNN Architectures
