Neural Network Semantics
Tim and Alexander delve into the importance of semantics in neural networks, discussing how neural networks handle continuous and discrete data differently. They explore the challenges of reasoning over mappings in neural networks and the limitations of continuous models in handling generalizable rules.In this clip
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Machine Learning Street Talk (MLST)
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
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