ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
ResNet50 v1.5 MXNet checkpoint (AMP)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
ResNet50 v1.5 MXNet checkpoint (AMP)

ResNet50 v1.5 MXNet checkpoint trained on Imagenet with AMP

1 Version
20.12.0_ampSelected
09/22/2022 6:03 PM UTC49.08 MBAccuracy: 0.771290 EpochsBatch Size: 192GPU: V100
architecture
KeyValue
taskclassification
typern50
performance
KeyValue
accuracy77.12%
training_loss1.745
training
KeyValue
batch_size192
training_precisionAMP
datasetImageNet
epochs90

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.