Practical Deep Learning For Coders

Overview

Embark on a transformative 7-week journey with the "Practical Deep Learning For Coders" course, meticulously crafted for individuals possessing at least a year of coding practice paired with a foundational understanding of high-school mathematics. This comprehensive program demystifies the complexities of securing a GPU server crucial for deep learning, guiding learners through an engaging curriculum that encompasses the creation of sophisticated, highly functional models tailored for computer vision, natural language processing, and recommendation systems. With around 20 hours of enriching lessons, participants are encouraged to dedicate approximately 10 hours weekly to thoroughly absorb and apply the knowledge imparted. Originating from the inaugural certificate course at The Data Institute at USF, this course stands as a beacon for those aspiring to excel in the realms of Artificial Intelligence, Computer Vision, and Deep Learning. The subsequent chapter of this educational odyssey will commence at The Data Institute on Feb 27, 2017, with its digital version expected to be accessible in May 2017, catering to a global audience of eager learners.

Syllabus

Taught by

Jeremy Howard

Tags