input-shape: [224, 224, 3]
author: MindSpore team
summary: GoogleNet used to classify the 10 classes of cifar10.
This MindSpore Hub model uses the implementation of GoogleNet from the MindSpore model zoo on Gitee at model_zoo/official/cv/googlenet.
This model has been trained on Cifar10 using the code published on Gitee.
All Parameters in the module are trainable.
import mindspore_hub as mshub import mindspore from mindspore import context, Tensor, nn from mindspore.train.model import Model from mindspore.common import dtype as mstype from mindspore.dataset.transforms import py_transforms context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", device_id=0) model = "mindspore/ascend/0.7/googlenet_v1_cifar10" # initialize the number of classes based on the pre-trained model network = mshub.load(model, num_classes=10) network.set_train(False) # Use as the same as MindSpore Model to inference. # ...
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