Ran PretrainedModels_TransferLearning end to end with changes.
"source": [
"Five of the model types that you can import using DLPy include pre-trained weight files: VGG16, VGG19, ResNet50, ResNet101, and ResNet152.\n",
"\n",
- "You can download the pre-trained `.h5` weight files from \n",
+ "You can download the pre-trained `.h5` weight files for the VGG16, VGG19, ResNet50, ResNet101, and ResNet152 models from \n",
"https://support.sas.com/documentation/prod-p/vdmml/zip/. \n",
"\n",
"Open the zip archive for the desired model type and extract the corresponding `.h5` file. Then use a transfer protocol such as `ftp` or `scp` to upload the `.h5` file to a server side directory that your CAS server can access.\n",
- "\n"
+ "\n",
+ "*Note:* The example code uses a hypothetical path `/disk/linux/dlpy/...` to represent the path to the directory on your server where you store the downloaded model and weight files. The path for your operating environment will be different.\n"
]
},
{
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.5"
+ "version": "3.7.4"
}
},
"nbformat": 4,
