Learning Smooth Functions
Tim and Thomas discuss the challenges of finding global optima and the importance of creating smooth, learnable functions in machine learning models. They delve into the concept of data augmentation and the need for models to synthesize programs without prior knowledge of function structures.In this clip
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Machine Learning Street Talk (MLST)
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
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