.. currentmodule:: mxnet.gluon.model_zoo
This document lists the model APIs in Gluon:
.. autosummary:: :nosignatures: mxnet.gluon.model_zoo mxnet.gluon.model_zoo.vision
The Gluon Model Zoo API, defined in the gluon.model_zoo package, provides pre-defined and pre-trained models to help bootstrap machine learning applications.
In the rest of this document, we list routines provided by the gluon.model_zoo package.
.. currentmodule:: mxnet.gluon.model_zoo.vision .. automodule:: mxnet.gluon.model_zoo.vision
The following table summarizes the available models.
| Alias | Network | # Parameters | Top-1 Accuracy | Top-5 Accuracy | Origin |
|---|---|---|---|---|---|
| alexnet | AlexNet | 61,100,840 | 0.5492 | 0.7803 | Converted from pytorch vision |
| densenet121 | DenseNet-121 | 8,062,504 | 0.7497 | 0.9225 | Converted from pytorch vision |
| densenet161 | DenseNet-161 | 28,900,936 | 0.7770 | 0.9380 | Converted from pytorch vision |
| densenet169 | DenseNet-169 | 14,307,880 | 0.7617 | 0.9317 | Converted from pytorch vision |
| densenet201 | DenseNet-201 | 20,242,984 | 0.7732 | 0.9362 | Converted from pytorch vision |
| inceptionv3 | Inception V3 299x299 | 23,869,000 | 0.7755 | 0.9364 | Converted from pytorch vision |
| mobilenet0.25 | MobileNet 0.25 | 475,544 | 0.5185 | 0.7608 | Trained with script |
| mobilenet0.5 | MobileNet 0.5 | 1,342,536 | 0.6307 | 0.8475 | Trained with script |
| mobilenet0.75 | MobileNet 0.75 | 2,601,976 | 0.6738 | 0.8782 | Trained with script |
| mobilenet1.0 | MobileNet 1.0 | 4,253,864 | 0.7105 | 0.9006 | Trained with script |
| mobilenetv2_1.0 | MobileNetV2 1.0 | 3,539,136 | 0.7192 | 0.9056 | Trained with script |
| mobilenetv2_0.75 | MobileNetV2 0.75 | 2,653,864 | 0.6961 | 0.8895 | Trained with script |
| mobilenetv2_0.5 | MobileNetV2 0.5 | 1,983,104 | 0.6449 | 0.8547 | Trained with script |
| mobilenetv2_0.25 | MobileNetV2 0.25 | 1,526,856 | 0.5074 | 0.7456 | Trained with script |
| resnet18_v1 | ResNet-18 V1 | 11,699,112 | 0.7093 | 0.8992 | Trained with script |
| resnet34_v1 | ResNet-34 V1 | 21,814,696 | 0.7437 | 0.9187 | Trained with script |
| resnet50_v1 | ResNet-50 V1 | 25,629,032 | 0.7647 | 0.9313 | Trained with script |
| resnet101_v1 | ResNet-101 V1 | 44,695,144 | 0.7834 | 0.9401 | Trained with script |
| resnet152_v1 | ResNet-152 V1 | 60,404,072 | 0.7900 | 0.9438 | Trained with script |
| resnet18_v2 | ResNet-18 V2 | 11,695,796 | 0.7100 | 0.8992 | Trained with script |
| resnet34_v2 | ResNet-34 V2 | 21,811,380 | 0.7440 | 0.9208 | Trained with script |
| resnet50_v2 | ResNet-50 V2 | 25,595,060 | 0.7711 | 0.9343 | Trained with script |
| resnet101_v2 | ResNet-101 V2 | 44,639,412 | 0.7853 | 0.9417 | Trained with script |
| resnet152_v2 | ResNet-152 V2 | 60,329,140 | 0.7921 | 0.9431 | Trained with script |
| squeezenet1.0 | SqueezeNet 1.0 | 1,248,424 | 0.5611 | 0.7909 | Converted from pytorch vision |
| squeezenet1.1 | SqueezeNet 1.1 | 1,235,496 | 0.5496 | 0.7817 | Converted from pytorch vision |
| vgg11 | VGG-11 | 132,863,336 | 0.6662 | 0.8734 | Converted from pytorch vision |
| vgg13 | VGG-13 | 133,047,848 | 0.6774 | 0.8811 | Converted from pytorch vision |
| vgg16 | VGG-16 | 138,357,544 | 0.7323 | 0.9132 | Trained with script |
| vgg19 | VGG-19 | 143,667,240 | 0.7411 | 0.9135 | Trained with script |
| vgg11_bn | VGG-11 with batch normalization | 132,874,344 | 0.6859 | 0.8872 | Converted from pytorch vision |
| vgg13_bn | VGG-13 with batch normalization | 133,059,624 | 0.6884 | 0.8882 | Converted from pytorch vision |
| vgg16_bn | VGG-16 with batch normalization | 138,374,440 | 0.7310 | 0.9176 | Trained with script |
| vgg19_bn | VGG-19 with batch normalization | 143,689,256 | 0.7433 | 0.9185 | Trained with script |
.. autosummary:: :nosignatures: get_model
.. autosummary:: :nosignatures: resnet18_v1 resnet34_v1 resnet50_v1 resnet101_v1 resnet152_v1 resnet18_v2 resnet34_v2 resnet50_v2 resnet101_v2 resnet152_v2
.. autosummary:: :nosignatures: ResNetV1 ResNetV2 BasicBlockV1 BasicBlockV2 BottleneckV1 BottleneckV2 get_resnet
.. autosummary:: :nosignatures: vgg11 vgg13 vgg16 vgg19 vgg11_bn vgg13_bn vgg16_bn vgg19_bn
.. autosummary:: :nosignatures: VGG get_vgg
.. autosummary:: :nosignatures: alexnet
.. autosummary:: :nosignatures: AlexNet
.. autosummary:: :nosignatures: densenet121 densenet161 densenet169 densenet201
.. autosummary:: :nosignatures: DenseNet
.. autosummary:: :nosignatures: squeezenet1_0 squeezenet1_1
.. autosummary:: :nosignatures: SqueezeNet
.. autosummary:: :nosignatures: inception_v3
.. autosummary:: :nosignatures: Inception3
.. autosummary:: :nosignatures: mobilenet1_0 mobilenet0_75 mobilenet0_5 mobilenet0_25 mobilenet_v2_1_0 mobilenet_v2_0_75 mobilenet_v2_0_5 mobilenet_v2_0_25
.. autosummary:: :nosignatures: MobileNet MobileNetV2
.. automodule:: mxnet.gluon.model_zoo .. automodule:: mxnet.gluon.model_zoo.vision :members: :imported-members: