NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
SE-ResNeXt101-32x4d pretrained weights (PyTorch, AMP, ImageNet)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
SE-ResNeXt101-32x4d pretrained weights (PyTorch, AMP, ImageNet)

SE-ResNeXt101-32x4d ImageNet pretrained weights

  • 1 Version
    20.06.0Selected
    09/16/2020 12:24 AM UTC173.26 MBAccuracy: 0300 EpochsBatch Size: 128GPU: V100
    architecture
    KeyValue
    typese-resnext101-32x4d
    performance
    KeyValue
    val_top180.95399998779297
    val_top595.26000002197266
    training
    KeyValue
    archse-resnext101-32x4d
    batch_size128
    data/data/imagenet
    data_backendpytorch
    epochs300
    lr1.024
    lr_schedulecosine
    model_configfanin
    num_classes1000
    optimizer_batch_size1024
    run_epochs-1
    workers8

    NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.