Neural Network Generalization
Tim and Connor discuss the challenges of neural networks in generalizing beyond training data, highlighting the limitations of deep learning algorithms in extrapolating information. Yannic explores the concept of embodied cognition and the potential for neural networks to integrate various modalities for enhanced understanding.In this clip
From this podcast
Machine Learning Street Talk (MLST)
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