39 citations · 103 across the 8 of their papers we have counts for
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cs.LG2019★ 7 cited
Real numbers, data science and chaos: How to fit any dataset with a single parameter
Laurent Boué
We show how any dataset of any modality (time-series, images, sound...) can be approximated by a well-behaved (continuous, differentiable...) scalar function with a single real-val…
cs.LG2018★ 4 cited
Deep learning for pedestrians: backpropagation in CNNs
Laurent Boué
The goal of this document is to provide a pedagogical introduction to the main concepts underpinning the training of deep neural networks using gradient descent; a process known as…