This course aims to teach learners everything they need to know about modern deep learning. The learning outcomes include understanding deep learning concepts, practical application of deep learning techniques, and gaining hands-on experience with coding deep learning models. The course covers topics such as deep learning fundamentals, model training, and deployment. The teaching method involves a combination of lectures, practical coding exercises, and real-world projects. This course is intended for coders and individuals interested in delving into the field of deep learning.
Overview
Syllabus
Lesson 1 - Deep Learning for Coders (2020).
Lesson 2 - Deep Learning for Coders (2020).
Lesson 3 - Deep Learning for Coders (2020).
Lesson 4 - Deep Learning for Coders (2020).
Lesson 5 - Deep Learning for Coders (2020).
Lesson 6 - Deep Learning for Coders (2020).
Lesson 7 - Deep Learning for Coders (2020).
Lesson 8 - Deep Learning for Coders (2020).
Lesson "0": Practical Deep Learning for Coders (fast.ai).
Taught by
Jeremy Howard
