Deep Learning from the Foundations

Deep Learning from the Foundations

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.