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Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?

, , , and . CoRR, (2013)

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Theory II: Landscape of the Empirical Risk in Deep Learning, , , and . (2017)Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning., , and . CoRR, (2016)Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex., and . CoRR, (2016)When and Why Are Deep Networks Better Than Shallow Ones?, , and . AAAI, page 2343-2349. AAAI Press, (2017)Theory of Deep Learning III: explaining the non-overfitting puzzle., , , , , , , and . CoRR, (2018)Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization, , and . (2019)cite arxiv:1908.09375Comment: arXiv admin note: text overlap with arXiv:1611.00740.How Important is Weight Symmetry in Backpropagation?, , and . CoRR, (2015)Compression of Deep Neural Networks for Image Instance Retrieval., , , , , , and . DCC, page 300-309. IEEE, (2017)Why and When Can Deep - but Not Shallow - Networks Avoid the Curse of Dimensionality: a Review., , , , and . CoRR, (2016)A Surprising Linear Relationship Predicts Test Performance in Deep Networks., , , , and . CoRR, (2018)