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#94 – Ilya Sutskever: Deep Learning

Lex Fridman Podcast

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Reasoning in Neural Networks

This chapter explores the reasoning capabilities of neural networks, particularly through examples like AlphaGo and AlphaZero in game contexts. It discusses the potential for future neural architectures to deepen these reasoning processes and highlights the importance of training and over-parameterization in learning. The conversation also touches on self-awareness in neural networks, the complexities of knowledge retention, and the parallels between human cognition and machine learning.

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