Abstraction in Neural Networks
Paul discusses the purpose of abstraction in mathematics, emphasizing the need to move away from specific details to solve problems more comprehensibly. Keith highlights the duality in category theory and the concept of canalization in evolution, showcasing the balance between specificity and generalization in reasoning about neural networks.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Dr. Paul Lessard - Categorical/Structured Deep Learning
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