A comprehensive deep dive into Machine Learning. We moved beyond the basics to cover LSTMs, the architecture of Transformers, an introduction to GPU programming with CUDA, and the fundamentals of Reinforcement Learning. Highly practical and code-heavy.
Setting the groundwork.
Handling sequential data and attention.
Accelerating workloads and teaching agents.
