Practical Deep Learning for Coders - Full Course

This course on Practical Deep Learning aims to provide a comprehensive introduction to deep learning accessible to individuals with coding experience. The course covers modules on evidence, production, deployment, stochastic gradient descent, data ethics, collaborative filtering, tabular data, and natural language processing. The course teaches practical skills in deep learning using Python and requires basic coding knowledge and familiarity with high school math. The teaching method includes video lessons and hands-on coding exercises. The course is intended for individuals with coding experience looking to delve into deep learning concepts and applications.