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DeepSets notebook for MLClass.

This notebook is part of Emmanuel Rachelson (@erachelson) Machine Learning class assignment. It is an introduction to DeepSets, an NN architecture invariant by permutation of its inputs. We quickly develop a NN that learns to compute the sum of any set of MNIST Digits, based on PyTorch.

Prerequisites

See requirements.txt for all required packages.

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DeepSets notebook for ML class

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