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Neural Networks, Manifolds, and Topology
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While it is challenging to understand the behavior of deep neural networks in general, it turns out to be much easier to explore low-dimensional deep neural networks – networks that only have a few neurons in each layer. In fact, we can create visualizations to completely understand the behavior and training of such networks. This perspective will allow us to gain deeper intuition about the behavior of neural networks and observe a connection linking neural networks to an area of mathematics called topology. |
Submitted by drmoon on Dec 03, 2016 (Edited Dec 03, 2016) |
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