QuantizedResnet152 Class
Quantized version of Renset-152.
Create a version of resnet 50 quantized for the Azure ML Hardware Accelerated Models Service.
- Inheritance
-
azureml.accel.models._resnet152.AbstractResnet152QuantizedResnet152
Constructor
QuantizedResnet152(model_base_path, is_frozen=False, custom_weights_directory=None)
Parameters
Name | Description |
---|---|
model_base_path
Required
|
Path to download the model into. Used as a cache locally. |
is_frozen
|
Should the weights of the resnet-152 be frozen when it is imported. Freezing the weights can lead to faster training time, but may cause your model to perform worse overall. Defaults to false. default value: False
|
custom_weights_directory
|
Directory to load pretrained resnet-50 weights from. Can load weights from either a float-32 version or a quantized version. If none, will load weights trained for accuracy on the Imagenet dataset. default value: None
|
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