Overcoming Deep Learning Challenges

Sheldon and Daniel discuss the challenges faced by academics in developing deep learning neural networks, leading to the creation of generative synthesis. They delve into the complexities of computational infrastructure, tooling, and understanding neural network conclusions, offering a unique approach to address these issues.