Neural Network Transformations
Tim and Thomas discuss how neural networks transform basis functions rather than data itself, leading to improved model performance through diverse basis functions. They explore a new model that accelerates training by enhancing basis function diversity, showcasing the importance of initialization in model outcomes.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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