![Artificial neural networks / Computational neuroscience / Artificial intelligence / Computer vision / Convolutional neural network / Deep learning / Machine learning / MNIST database / Vanishing gradient problem / Receptive field / Network architecture / OSI model Artificial neural networks / Computational neuroscience / Artificial intelligence / Computer vision / Convolutional neural network / Deep learning / Machine learning / MNIST database / Vanishing gradient problem / Receptive field / Network architecture / OSI model](https://www.pdfsearch.io/img/0c92e442ee207cc4a539cff58d859a1a.jpg) Date: 2015-06-18 20:42:20Artificial neural networks Computational neuroscience Artificial intelligence Computer vision Convolutional neural network Deep learning Machine learning MNIST database Vanishing gradient problem Receptive field Network architecture OSI model | | Going Deeper with Convolutions Christian Szegedy1 , Wei Liu2 , Yangqing Jia1 , Pierre Sermanet1 , Scott Reed3 , Dragomir Anguelov1 , Dumitru Erhan1 , Vincent Vanhoucke1 , Andrew Rabinovich4 1 Google Inc. 2 University ofAdd to Reading ListSource URL: www.cs.unc.eduDownload Document from Source Website File Size: 1,24 MBShare Document on Facebook
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