Advanced
Artificial Intelligence & Machine Learning
Q88 / 100
What is a neural ordinary differential equation (Neural ODE)?
Correct! Well done.
Incorrect.
The correct answer is B) A model parameterizing the derivative of the hidden state as a neural network, solving an ODE to get the output — enabling continuous-depth models and memory efficiency
B
Correct Answer
A model parameterizing the derivative of the hidden state as a neural network, solving an ODE to get the output — enabling continuous-depth models and memory efficiency
Explanation
Neural ODE (Chen 2018): instead of discrete layers, define dh/dt = f(h,t,θ). Solve with an ODE solver. Memory O(1) via adjoint method. Continuous normalizing flows, time-series modeling, and dynamical systems.
Progress
88/100