Practical Deep Learning For Coders
Other, , Prof. Jeremy Howard
Added to favorite list
Updated On 02 Feb, 19
Learn how to build state of the art models without needing graduate-level mathbut also without dumbing anything down.
4.1 ( 11 )
NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, use the forums at http://forums.fast.ai
You will learn about collaborative filtering through the example of making movie recommendations, and talk about key developments that occurred during the Netflix prize.
We will dig into some lower level details of deep learning: what happens inside the training loop, how optimizers like momentum and Adam work, and regularization using weight decay. You will learn how to think spatially about math concepts like the ‘chain rule’, ‘jacobian’, and ‘hessian’.
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
March 29, 2019
Great course. Thank you very much.