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#94 – Ilya Sutskever: Deep Learning

Lex Fridman Podcast

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Exploring Cost Functions and Neural Networks

This chapter investigates the complexities of cost functions in supervised learning and the unique approach of generative adversarial networks (GANs) within game theory frameworks. It further examines the evolution of neural network architectures, especially recurrent neural networks (RNNs), in the context of their historical development and the pivotal moments that led to the acceptance of deep learning. Lastly, the discussion reflects on the interplay between biological learning rules and advancements in artificial intelligence models, considering how they might shape future developments.

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