Practical Deep Learning For Coders, Part 1（1-4）

Practical Deep Learning For Coders, Part 1（1-4） 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1-4。 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