CNN - AshokBhat/ml GitHub Wiki
About
- Convolutional Neural Network (aka CNN, ConvNet)
- Deep neural networks commonly applied to analyzing visual imagery
- Applications: [Image recognition]] ](/AshokBhat/ml/wiki/[Video-recognition) | [Image classification]]
Illustration
Common architectures
- [State-of-the-art]] : [[AlexNet]] ](/AshokBhat/ml/wiki/[VGG) | [ResNet]] | EfficientNet
- Others: [DenseNet]] ](/AshokBhat/ml/wiki/[[MobileNet) | ResNext
Characterstics
|Name|Year|[Top-1 accuracy]]](/AshokBhat/ml/wiki/[Top-5-accuracy)|[Layer]]ss| FLOP(s)| |-|-|-|-|-|-|-| |AlexNet|2012|57.0%|80.3%|8|60M|-| |VGG-16|2014|71.3%|90.1%|16|138M|-| |VGG-19|2014|71.3%|90.0%|19|143M|-| |Inception-v1|2014||||5M|-| |Inception-v3 |2016| 78.8% |94.4%| |24M |5.7B | |ResNet-50 |2016| 76.0% |93.0%| 50 |26M |4.1B | |ResNet-152 |2016| 77.8% |93.8%| |60M |11B | |DenseNet-169 |2017| 76.2% |93.2%| |14M |3.5B | |DenseNet-264 |2017| 77.9% |93.9%| |34M |6.0B | |Xception |2017| 79.0% |94.5%| |23M |8.4B | |ResNeXt-101 |2017| 80.9% |95.6%| |84M |32B | |Inception-v4 |2017| 80.0% |95.0%| |48M |13B | |MobileNet|2017|70.4%|89.5%||4.2M|-| |Inception-resnet-v2 |2017| 80.1% |95.1%| |56M|13B| |MobileNetV2|2018|71.3%|90.1%||3.5M|-| |EfficientNet-B0 |2019| 77.3%| 93.5%|| 5.3M| 0.39B| |EfficientNet-B1 |2019|79.2%| 94.5%|| 7.8M| 0.70B| |EfficientNet-B2 |2019|80.3%| 95.0%|| 9.2M| 1.0B| |EfficientNet-B3 |2019|81.7%| 95.6%|| 12M| 1.8B| |EfficientNet-B4 |2019|83.0%| 96.3%|| 19M| 4.2B| |EfficientNet-B5 |2019|83.7%| 96.7%|| 30M| 9.9B| |EfficientNet-B6 |2019|84.2%| 96.8%|| 43M| 19B| |EfficientNet-B7 |2019|84.4%| 97.1%|| 66M| 37B|
