The following script will download all pre-trained models from the Gluon modelzoo, so you don’t have to wait if you’re doing experiments:
from mxnet.gluon.model_zoo import vision
print(vision.get_model("alexnet", pretrained=True))
print(vision.get_model("densenet121", pretrained=True))
print(vision.get_model("densenet161", pretrained=True))
print(vision.get_model("densenet169", pretrained=True))
print(vision.get_model("densenet201", pretrained=True))
print(vision.get_model("inceptionv3", pretrained=True))
print(vision.get_model("mobilenet0.25", pretrained=True))
print(vision.get_model("mobilenet0.5", pretrained=True))
print(vision.get_model("mobilenet0.75", pretrained=True))
print(vision.get_model("mobilenet1.0", pretrained=True))
print(vision.get_model("mobilenetv2_0.25", pretrained=True))
print(vision.get_model("mobilenetv2_0.5", pretrained=True))
print(vision.get_model("mobilenetv2_0.75", pretrained=True))
print(vision.get_model("mobilenetv2_1.0", pretrained=True))
print(vision.get_model("resnet101_v1", pretrained=True))
print(vision.get_model("resnet101_v2", pretrained=True))
print(vision.get_model("resnet152_v1", pretrained=True))
print(vision.get_model("resnet152_v2", pretrained=True))
print(vision.get_model("resnet18_v1", pretrained=True))
print(vision.get_model("resnet18_v2", pretrained=True))
print(vision.get_model("resnet34_v1", pretrained=True))
print(vision.get_model("resnet34_v2", pretrained=True))
print(vision.get_model("resnet50_v1", pretrained=True))
print(vision.get_model("resnet50_v2", pretrained=True))
print(vision.get_model("squeezenet1.0", pretrained=True))
print(vision.get_model("squeezenet1.1", pretrained=True))
print(vision.get_model("vgg11", pretrained=True))
print(vision.get_model("vgg11_bn", pretrained=True))
print(vision.get_model("vgg13", pretrained=True))
print(vision.get_model("vgg13_bn", pretrained=True))
print(vision.get_model("vgg16", pretrained=True))
print(vision.get_model("vgg16_bn", pretrained=True))
print(vision.get_model("vgg19", pretrained=True))
print(vision.get_model("vgg19_bn", pretrained=True))