473: Machine Learning at NVIDIA
Super Data Science: ML & AI Podcast with Jon Krohn
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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