Neural Networks and Reasoning
Yann discusses the compatibility of reasoning with gradient-based learning, emphasizing that neural networks can indeed reason if structured appropriately. He critiques traditional logic-based models for their incompatibility with learning processes, advocating for a more fluid understanding of knowledge creation. The conversation delves into the nature of machine learning, highlighting its inherent "sloppiness" compared to the precision of computer science.In this clip
From this podcast
Lex Fridman Podcast
Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36
Related Questions
Can neural networks be made to reason as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Neural Networks and Reasoning?
Can neural networks be made to reason as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Neural Networks and Reasoning?
How do neural networks demonstrate reasoning capabilities as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Neural Networks and Reasoning?