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About the Course
Module 1: Deep Learning Optimization
Mixed-precision training (NVIDIA AMP)
Model pruning/distillation (Lottery Ticket Hypothesis)
Module 2: Generative Models
Diffusion models (stable diffusion, DDPM)
GAN inversion (latent space manipulation)
Module 3: Reinforcement Learning
Multi-agent systems (MADDPG, QMIX)
Meta-RL (MAML, PEARL)
Hands-on Labs:
Training a transformer model from scratch with JAX
Deploying RL policies in ROS-based simulators
Your Instructor
Brad Grecco
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