Super Data Science: ML & AI Podcast with Jon Krohn cover image

473: Machine Learning at NVIDIA

Super Data Science: ML & AI Podcast with Jon Krohn

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Harnessing Tensors for Enhanced Neural Network Architectures

This chapter delves into spectral learning on matrices and tensors, focusing on key linear algebra concepts like eigenspectrum and eigenvectors. It highlights the advantages of tensors in neural networks and introduces Tensorly, an open-source framework for implementing tensor methods.

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