NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
ResNet50 pretrained weights (PyTorch, AMP, ImageNet)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
ResNet50 pretrained weights (PyTorch, AMP, ImageNet)

ResNet50 ImageNet pretrained weights.

1 Version
20.06.0_ampSelected
09/22/2022 5:24 PM UTC97.74 MBAccuracy: 0300 EpochsBatch Size: 256GPU: V100
architecture
KeyValue
typeresnet50
performance
KeyValue
val_top178.54800000488281
val_top594.00399979003906
training
KeyValue
data_backendpytorch
model_configfanin
batch_size256
data/data/imagenet
num_classes1000
lr2.048
run_epochs-1
optimizer_batch_size2048
archresnet50
lr_schedulecosine
workers8
epochs300

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.