Dive deep into the foundations of deep learning through a comprehensive 16-hour course led by Jeremy Howard. Explore advanced topics including model training techniques, internal model workings, the Data Block API, generic optimizers, and ULMFiT implementation from scratch. Gain insights into Swift programming for deep learning, covering C interoperability, protocols, and practical applications. Access searchable transcripts, notes, links, and errata through the official fast.ai video browser for an enhanced learning experience.
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
