Add manual installation instructions

README.md

@@ -6,7 +6,7 @@
 
 ArcGIS Pro, Server and the ArcGIS API for Python all include tools to use AI and Deep Learning to solve geospatial problems, such as feature extraction, pixel classification, and feature categorization.  This installer includes a broad collection of components, such as PyTorch, TensorFlow, Fast.ai and scikit-learn, for performing deep learning and machine learning tasks, a total collection of 95 packages. These packages can be used with the new Deep Learning Training tools, by using the arcgis.learn module within the ArcGIS API for Python, and directly imported into your own scripts and tools. Most of the tools in this collection will work on any machine, but common deep learning workflows require a recent NVIDIA graphics processing unit (GPU), and problem sizes are bound by available GPU memory, see [the requirements section](#requirements).
 
-This installer adds all the included packages to the default `arcgispro-py3` environment that Pro and Server both ship with, and no additional environments are necessary to create in order to get started using the tools. If you do create custom environments, these packages will also be included so you can use the same tools in your own custom environments as well.
+This installer adds all the included packages to the default `arcgispro-py3` environment that Pro and Server both ship with, and no additional environments are necessary to create in order to get started using the tools. If you do create custom environments, these packages will also be included so you can use the same tools in your own custom environments as well. If you cannot use the installer, you can [install the libraries manually using these instructions](install-deep-learning-frameworks-manually.pdf).
 
 For an example of the kinds of workflows this installer and ArcGIS enables, see the [AI & Deep Learning in the UC 2020 Plenary video](https://www.youtube.com/watch?v=eI5Sv_FsPgk&feature=youtu.be&list=PLaPDDLTCmy4YwK56yHaEdtRgNUoPBiZTz)