Deep Learning's Limitations

Stuart discusses the limitations of deep learning systems, emphasizing the need for a hypothesis space that is both wide and deep. He highlights the creative applications of deep learning, such as style transfer, but also points out the areas where it falls short, like designing factories or solving problems unrelated to image analysis. Stuart suggests that a combination of classical AI and deep learning approaches may be the way forward.