Neural Networks and Infinity
Tim and Chris discuss the concept of representing infinite objects in neural networks, debating the feasibility of mapping infinite states and the constraints required for computational usefulness. They delve into the challenges of achieving compositionality and systematicity in neural network models.In this clip
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Related Questions
Why are neural networks hard to explain in the context of the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Neural Nets and Symbolism?
Why are neural networks hard to explain in the context of the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Neural Nets and Symbolism?