File:AlexNet 2012.png
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Figure 2: An illustration of the architecture of our CNN, explicitly showing the delineation of responsibilities between the two GPUs. One GPU runs the layer-parts at the top of the figure while the other runs the layer-parts at the bottom. The GPUs communicate only at certain layers. The network’s input is 150,528-dimensional, and the number of neurons in the network’s remaining layers is given by 253,440–186,624–64,896–64,896–43,264– 4096–4096–1000. In: Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. (2012). "Imagenet classification with deep convolutional neural networks". In Advances in neural information processing systems (pp. 1097-1105).
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:12, 30 September 2018 | | 950 × 303 (73 KB) | Omoreira (talk | contribs) | Figure 2: An illustration of the architecture of our CNN, explicitly showing the delineation of responsibilities between the two GPUs. One GPU runs the layer-parts at the top of the figure while the other runs the [[NN Layer|la... |
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