Multi-Layer Perceptron
Physics-Informed Neural Networks (PINNs)
DeepONet: Operator Learning with Neural Networks
Differentiable Simulation
Graph Neural Network
Lab Setup

Interactive Demo: Automatic Differentiation

Explore forward and reverse mode AD on the function: y = x₁² + x₂

Differentiate w.r.t.:
Forward Mode AD
Click "Next Step" to begin Forward Mode AD
Input/Operation
Output

Step-by-Step Calculations

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CVW material development is supported by NSF OAC awards 1854828, 2321040, 2323116 (UT Austin) and 2005506 (Indiana University)