A deep learning model that labels images as 10 different common objects (e.g., cats). Trained using the CIFAR10 dataset and based on the VGG16 architecture. Achieves an accuracy of~90% on the benchmark provided in Keras.
from dlhub_sdk.client import DLHubClient
X = get_my_data() #replace this
dl = DLHubClient()
dl.run('npruyne_globusid/cifar10_model', X)
from dlhub_sdk.client import DLHubClient
dl = DLHubClient()
dl.describe_servable('npruyne_globusid/cifar10_model')
pip install dlhub_sdk