4min chapter

Lex Fridman Podcast cover image

François Chollet: Keras, Deep Learning, and the Progress of AI

Lex Fridman Podcast

CHAPTER

The Science of Generalization in Machine Learning

About 10,000 deep learning papers have been written about hard coding priors about a specific task and neural network architecture works better than a lack of a prior. Do you think we can go far by coming up with better methods for this kind of cheating for better methods of large scale annotation of data? So building better priors. If you made it, it's not sitting anymore. Right.

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