Optimizing Neural Networks
Thomas explains how the conditioning of a function impacts optimization, emphasizing the importance of a nicely conditioned function for faster convergence. Tim discusses the complexities of activation functions like Relu and the trade-offs between curvature and optimization difficulty.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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