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Gluon Model Zoo

    .. currentmodule:: mxnet.gluon.model_zoo

Overview

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.

Vision

.. currentmodule:: mxnet.gluon.model_zoo.vision
.. automodule:: mxnet.gluon.model_zoo.vision
    :noindex:

The following table summarizes the available models.

AliasNetwork# ParametersTop-1 AccuracyTop-5 AccuracyOrigin
alexnetAlexNet61,100,8400.54920.7803Converted from pytorch vision
densenet121DenseNet-1218,062,5040.74970.9225Converted from pytorch vision
densenet161DenseNet-16128,900,9360.77700.9380Converted from pytorch vision
densenet169DenseNet-16914,307,8800.76170.9317Converted from pytorch vision
densenet201DenseNet-20120,242,9840.77320.9362Converted from pytorch vision
inceptionv3Inception V3 299x29923,869,0000.77550.9364Converted from pytorch vision
mobilenet0.25MobileNet 0.25475,5440.51850.7608Trained with script
mobilenet0.5MobileNet 0.51,342,5360.63070.8475Trained with script
mobilenet0.75MobileNet 0.752,601,9760.67380.8782Trained with script
mobilenet1.0MobileNet 1.04,253,8640.71050.9006Trained with script
mobilenetv2_1.0MobileNetV2 1.03,539,1360.71920.9056Trained with script
mobilenetv2_0.75MobileNetV2 0.752,653,8640.69610.8895Trained with script
mobilenetv2_0.5MobileNetV2 0.51,983,1040.64490.8547Trained with script
mobilenetv2_0.25MobileNetV2 0.251,526,8560.50740.7456Trained with script
resnet18_v1ResNet-18 V111,699,1120.70930.8992Trained with script
resnet34_v1ResNet-34 V121,814,6960.74370.9187Trained with script
resnet50_v1ResNet-50 V125,629,0320.76470.9313Trained with script
resnet101_v1ResNet-101 V144,695,1440.78340.9401Trained with script
resnet152_v1ResNet-152 V160,404,0720.79000.9438Trained with script
resnet18_v2ResNet-18 V211,695,7960.71000.8992Trained with script
resnet34_v2ResNet-34 V221,811,3800.74400.9208Trained with script
resnet50_v2ResNet-50 V225,595,0600.77110.9343Trained with script
resnet101_v2ResNet-101 V244,639,4120.78530.9417Trained with script
resnet152_v2ResNet-152 V260,329,1400.79210.9431Trained with script
squeezenet1.0SqueezeNet 1.01,248,4240.56110.7909Converted from pytorch vision
squeezenet1.1SqueezeNet 1.11,235,4960.54960.7817Converted from pytorch vision
vgg11VGG-11132,863,3360.66620.8734Converted from pytorch vision
vgg13VGG-13133,047,8480.67740.8811Converted from pytorch vision
vgg16VGG-16138,357,5440.73230.9132Trained with script
vgg19VGG-19143,667,2400.74110.9135Trained with script
vgg11_bnVGG-11 with batch normalization132,874,3440.68590.8872Converted from pytorch vision
vgg13_bnVGG-13 with batch normalization133,059,6240.68840.8882Converted from pytorch vision
vgg16_bnVGG-16 with batch normalization138,374,4400.73100.9176Trained with script
vgg19_bnVGG-19 with batch normalization143,689,2560.74330.9185Trained with script
.. autosummary::
    :nosignatures:

    get_model

ResNet

.. 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

VGG

.. autosummary::
    :nosignatures:

    vgg11
    vgg13
    vgg16
    vgg19
    vgg11_bn
    vgg13_bn
    vgg16_bn
    vgg19_bn
.. autosummary::
    :nosignatures:

    VGG
    get_vgg

Alexnet

.. autosummary::
    :nosignatures:

    alexnet
.. autosummary::
    :nosignatures:

    AlexNet

DenseNet

.. autosummary::
    :nosignatures:

    densenet121
    densenet161
    densenet169
    densenet201
.. autosummary::
    :nosignatures:

    DenseNet

SqueezeNet

.. autosummary::
    :nosignatures:

    squeezenet1_0
    squeezenet1_1
.. autosummary::
    :nosignatures:

    SqueezeNet

Inception

.. autosummary::
    :nosignatures:

    inception_v3
.. autosummary::
    :nosignatures:

    Inception3

MobileNet

.. 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

API Reference


.. automodule:: mxnet.gluon.model_zoo

.. automodule:: mxnet.gluon.model_zoo.vision
    :members:
    :imported-members:
    :noindex:

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Tong He, Sheng Zha, Frank Liu, Aaron Markham, Abhinav Sharma, Joshua Z. Zhang & Eric Junyuan Xie
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