Programming for AI (AI504, Fall 2020), Class 14: Neural Ordinary Differential Equations

Neural Ordinary Differential Equations
- Ordinary differential equations
-- First order ODE
-- Initial value problem
-- How to solve ODE
- Neural ODE
-- ResNet to Neural ODE
-- Forward & Backward
-- Adjoint Sensitivity Method

[@bryan-vc7bg]

The clearest explanation on ODENets I found so far

[@ramneetkaur4466]

+1 to that

[@congphuocphan]

Initially, how we define the f function if we only have one initial x0 and y0? And why we need to have 2 parameters x0 and y0 while in the derivative function we only need x0?

[@berkhacimolla6063]

Best explanation that I found so far. Thanks!

[@ujjawalpanchal]

Amazing lecture! Thank you!

[@hamidrezamofidi3211]

I've watched classes 1 and 2 and their practices. The videos are great! I am actually interested in the topic of Class 14 (Neural ODEs). Do I need to watch any other videos before that, or can I directly jump to Neural ODEs now?

[@mohammadjoshaghani5388]

nice and intuitive🙂

[@violinplayer7201]

Very clearly explained! Thanks so much!!!

[@Mephisto43]

Best explanation of Neural ODEs on the internet!

[@vahidnikoofard2939]

A cristal clear explanation!

[@NamTranNguyen-d5o]

Great

[@EcuacionDifAVR]

Great

[@liangliangyan7528]

it`s very nice talk, i think!

[@userckeiak]

You’re 😎👌

[@muthukamalan.m6316]

could you please attach original paper?

[@cristovaoiglesias523]

Neural Ordinary Differential Equations

[@shiqing6897]

the whole stuff is explained in a really clear and nice way! thank you, sir!