Neural Nets Visualization
Keith and Yoshua draw parallels between Galton boards and G flow nets, highlighting how neural nets optimize paths akin to tweaking pegs on a board to bias outcomes. Yoshua emphasizes the importance of a single neural net for generalization, crucial for scaling to large problems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
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