Neural Network Theory
Thomas delves into the complexities of neural networks, highlighting the importance of understanding the uniqueness of pixel space in image classification. He explores the concept of sampled subsurface functions and the challenges of defining functions in high-dimensional spaces.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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