Added dependency matrix
"\n",
"* Exporting training samples can be done using both ArcGIS Pro and ArcGIS Image Server. Our guide will mainly focus on how to do it using Image Server. More information about export training data for deep learning workflow in ArcGIS Pro can be found [here](https://pro.arcgis.com/en/pro-app/tool-reference/image-analyst/export-training-data-for-deep-learning.htm). Please note that if you have already exported training samples using Pro, you can just take the data and start training using `arcgis.learn`.\n",
"\n",
- "* Data preparation, augmentation and model training workflows using `arcgis.learn` have a dependency on PyTorch and fast.ai deep learning libraries. They can be installed using conda as follows:\n",
+ "* Data preparation, augmentation and model training workflows using `arcgis.learn` have a dependency on PyTorch and fast.ai deep learning libraries. They can be installed based on the matrix below.\n",
+ "\n",
+ "| Python API | Fastai | Pytorch | Conda install command |\n",
+ "| --------- | ------ | --------|:---------------------------------------------------------------------------|\n",
+ "| <1.7.0 | 1.0.39 | 1.0.0 | conda install -c fastai -c pytorch fastai=1.0.39 pytorch=1.0.0 torchvision |\n",
+ "| >=1.7.0 | 1.0.54 | 1.1.0 | conda install -c fastai -c pytorch fastai=1.0.54 pytorch=1.1.0 torchvision |\n",
"\n",
- "`conda install -c fastai -c pytorch fastai=1.0.39 pytorch=1.0.0 torchvision`\n",
" \n",
"* The output model from ArcGIS API for Python can be used in ArcGIS Pro or Image Server for model inference. Again, our guide will be mostly about using Image Server, which can be scaled out using multiple GPU enabled nodes. Please refer to guide about [Detect Objects Using Deep Learning](https://pro.arcgis.com/en/pro-app/tool-reference/image-analyst/detect-objects-using-deep-learning.htm) and [Classify Pixels Using Deep Learning](https://pro.arcgis.com/en/pro-app/tool-reference/image-analyst/classify-pixels-using-deep-learning.htm) if you would like to do it in ArcGIS Pro."
]
