This course teaches deep learning from the foundations, covering topics such as training models, understanding model internals, data block API, generic optimizers, advanced training techniques, ULMFiT, basics of Swift for deep learning, Swift-C interop, protocols, and integration. The course utilizes a video browser for an interactive learning experience. The intended audience for this course is individuals interested in gaining a comprehensive understanding of deep learning concepts and techniques.
Overview
Syllabus
Lesson 8 (2019) - Deep Learning from the Foundations.
Lesson 9 (2019) - How to train your model.
Lesson 10 (2019) - Looking inside the model.
Lesson 11 (2019) - Data Block API, and generic optimizer.
Lesson 12 (2019) - Advanced training techniques; ULMFiT from scratch.
Lesson 13 (2019) - Basics of Swift for Deep Learning.
Lesson 14 (2019) - Swift: C interop; Protocols; Putting it all together.
Taught by
Jeremy Howard
