Neural Network Training
Thomas delves into proving neural network capabilities, emphasizing the importance of explainability and exploring training methods without traditional backpropagation. He discusses the concept of initializing networks and tracking data transformations to improve convergence and error bounds.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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