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4min chapter
Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
Lex Fridman Podcast
Neural Networks and Causality
This chapter examines the relationship between neural networks and causal inference, discussing the necessity of prior structures for cognitive functions. It also explores philosophical questions about the nature of reality and human perceptions of causality, particularly how misconceptions can affect knowledge encoding in intelligent systems.
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