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AI/ML STIG Lecture Series

Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG)

AI/ML STIG about AI/ML STIG Lecture Series

Location

Virtual

Dates

15 December 2025
4:00pm ET

Community

AI/ML STIG

Type

Seminar

PyTorch and Autodifferentiation

Speaker

Philip Cargile (Harvard CfA)

Master the fundamentals of PyTorch and automatic differentiation. Learn how to build, train, and optimize neural networks using PyTorch's powerful autodiff engine. From basic tensor operations to training your first neural network.

Topics Covered:

  • PyTorch tensors and operations
  • Automatic differentiation (autograd)
  • Building models with torch.nn.Module
  • Optimization with torch.optim
  • CPU vs GPU: device management
  • Training a minimal MLP from scratch
Session Recording

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