061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Machine Learning Street Talk (MLST)
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Understanding Latent Spaces in Neural Networks
This chapter explores the complexities of latent spaces in neural networks, emphasizing interpolation, extrapolation, and the challenges of visualizing training data. It also addresses the impact of dimensionality on information encoding, model accuracy, and the trade-offs between redundancy and precision in classification tasks.
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