Deep Learning Insights
Max shares insights on the importance of data in deep learning, the role of inductive priors like CNNs, and his latest research on quantum deformed neural networks and probabilistic numeric CNNs.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
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