Deep Learning, Structure and Innate Priors

Earlier this month, I had the exciting opportunity to moderate a discussion between Professors Yann LeCun and Christopher Manning, titled “What innate priors should we build into the architecture of deep learning systems?” This discussion topic – about the structural design decisions we build into our neural architectures, and how those correspond to certain assumptions and inductive biases – is an important one in AI right now.

This is a fascinating topic in AI design at the highest level. This will be an ongoing conversation over the coming decade; if it's new to you this is a great intro.


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