Chapter
The Limitations of Deep Learning and the Need for Human Intervention
33:08 - 43:02 (09:53)
Deep learning has its limitations and we need to do hard engineering work in order to build a design specification for what we want the system to do. Although deep learning can accomplish a lot automatically, humans still need to guide and teach the machine.
Clips
This podcast explores the limits of deep learning in the development of Artificial Intelligence.
33:08 - 38:43 (05:34)
Summary
This podcast explores the limits of deep learning in the development of Artificial Intelligence. The speaker suggests that building a design specification for what we want the system to do and doing hard engineering work are key to encoding complex knowledge into the system, where humans guide the learning procedures and the framework of how the machine learns.
ChapterThe Limitations of Deep Learning and the Need for Human Intervention
EpisodeGary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI
PodcastLex Fridman Podcast
The article discusses the limitations of deep neural networks when it comes to forming abstractions, which are not accessible to humans, and highlights the possibility of a new form of deep learning that incorporates symbolic manipulation.
38:44 - 43:02 (04:18)
Summary
The article discusses the limitations of deep neural networks when it comes to forming abstractions, which are not accessible to humans, and highlights the possibility of a new form of deep learning that incorporates symbolic manipulation.