Tutorial On Automatic Differentiation

This short

This is a video

An introduction to working with `torch.autograd` and performing backpropagation on a function with `.backward()`.

Since somehow you found this video i assume that you have seen the term

This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania. The course material, including the ...

Automatic differentiation

Just a quick fun fact about implicit

A deep dive into

Lukas Heinrich introduced the concept of

Deep Learning DIY by Marc Lelarge https://twitter.com/marc_lelarge - notebook: ...

Lecture 4 of the online course Deep Learning Systems: Algorithms and Implementation. This lecture introduces

Prof. Orchard describes the theory behind

Automatic differentiation

Also called autograd or back propagation (in the case of deep neural networks). Here is the demo code: ...

SciML fact of the day:

An invited talk for PEPM 2018. Abstract & slides: https://github.com/conal/talk-2018-essence-of-ad/blob/master/readme.md.

I was introduced to the field of Scientific Machine Learning over 5 years ago and

Uh referred to as modes of what we call

The algorithm for

Want to learn more? Take the full course at https://learn.datacamp.com/courses/introduction-to-deep-learning-with-pytorch at your ...