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This project explores the ResNet architecture, which solved the vanishing gradient problem by introducing residual learning through skip connections. The goal is to build efficient deep image ...

Abstract: Practical time series datasets in classification tasks often suffer from scarcity in number of training instances owing to the expenses associated with the annotation exercise. Deep learning ...

"In this notebook we will examine how the [ReZero](https://arxiv.org/abs/2003.04887) architecture addition enables or accelerates training in deep [ResNet](https ...