Unveiling Deep Learning
Fabian, a machine learning PhD student, delves into learning invariant representations, emphasizing the importance of ignoring irrelevant data parts. DeepMind's alphafold two showcases the integration of physical insights into network structures, highlighting the significance of biases in deep learning models.In this clip
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Machine Learning Street Talk (MLST)
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
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