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

[@Mephisto43]

Best explanation of Neural ODEs on the internet!

[@berkhacimolla6063]

Best explanation that I found so far. Thanks!

[@vahidnikoofard2939]

A cristal clear explanation!

[@shiqing6897]

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

[@ujjawalpanchal]

Amazing lecture! Thank you!

[@violinplayer7201]

Very clearly explained! Thanks so much!!!

[@NamTranNguyen-d5o]

Great

[@mohammadjoshaghani5388]

nice and intuitive🙂

[@congphuocphan]

I still have a question about how to handle the f with its parameters (theta). When reading the other material on internet, I found that f is actually another neural network, am I right?

[@liangliangyan7528]

it`s very nice talk, i think!

[@muthukamalan.m6316]

could you please attach original paper?

[@cristovaoiglesias523]

Neural Ordinary Differential Equations

[@EcuacionDifAVR]

Great