File:SqueezeNet FireModule.png
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SqueezeNet_FireModule.png (534 × 338 pixels, file size: 56 KB, MIME type: image/png)
Figure 1: Microarchitectural view: Organization of convolution filters in the Fire module. In this example, s1x1 = 3, e1x1 = 4, and e3x3 = 4. We illustrate the convolution filters but not the activations. In: Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer (2016). "Squeezenet: Alexnet-level accuracy with 50x fewer parameters and< 0.5 mb model size". arXiv preprint [https://arxiv.org/abs/1602.07360 arXiv:1602.07360.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 23:00, 7 October 2018 | | 534 × 338 (56 KB) | Omoreira (talk | contribs) | Figure 1: Microarchitectural view: Organization of convolution filters in the Fire module. In this example, s1x1 = 3, e1x1 = 4, and e3x3 = 4. We illustrate the convolution filters but not the activations. In: Forrest N. Iandola, [[S... |
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