I recently had the opportunity to attend the AMSS 2025 ‘Deep Neural Networks’ session, and I must say it was an incredibly productive and understandable class. The module was expertly covered, with categorized topics that made it easy to follow along. What really impressed me, though, was the practical application and implementation of the theory through coding examples. Seeing the concepts come to life in a real-world setting made all the difference. I left the session feeling very satisfied and motivated to continue learning.
If you’re interested in deep neural networks, I highly recommend checking out this session. The way the instructor broke down complex topics into manageable chunks was truly impressive. Plus, the coding exercises really helped to solidify my understanding of the material.
Has anyone else attended this session or worked with deep neural networks before? What were some of your favorite takeaways or ‘aha’ moments?