## Description
Cannot load only convolutional layers with pre-trained model using
```load_parameters()``` API
## Environment info (Required)
Ubuntu 16.04
mxnet-cu90 1.3.0b20180821
## Error Message:
missing_parameters
## Minimum reproducible example
```
from mxnet.gluon.model_zoo.vision import get_model
# download the pretrained model with the path: model_path
model = get_model('resnet101_v2')
model.features.load_parameters(model_path)
```
## What have you tried to solve it?
The reason of this issue is load_parameters called from ```features block```,
in which name of parameters starts with numbers. But the pretrained model
parameters starts with ```features```.
The ```load_parameters``` cannot find the corresponding name in this case.
One way to work around this issue is using the ```model.save_params()``` to
save again and load using the API ```load_parameters```. However, the
save_params() is deprecated.
To prevent any problem with loading parameters, I propose this issue and hope
the team can fix it.
[ Full content available at:
https://github.com/apache/incubator-mxnet/issues/12334 ]
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