# Recovering the Lowest Layer of Deep Networks with High Threshold Activations

@article{Goel2018RecoveringTL, title={Recovering the Lowest Layer of Deep Networks with High Threshold Activations}, author={Surbhi Goel and Rina Panigrahy}, journal={arXiv: Learning}, year={2018} }

Giving provable guarantees for learning neural networks is a core challenge of machine learning theory. Most prior work gives parameter recovery guarantees for one hidden layer networks, however, the networks used in practice have multiple non-linear layers. In this work, we show how we can strengthen such results to deeper networks -- we address the problem of uncovering the lowest layer in a deep neural network under the assumption that the lowest layer uses a high threshold before applying… CONTINUE READING

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