Merge branch 'master' of github.com:Esri/arcgis-python-api

Author: DavidJVitale

guide/01-getting-started/install-and-set-up.ipynb

@@ -22,6 +22,9 @@
     "  - [Install Using Anaconda for Python Distribution](#Install-using-Anaconda-for-Python-Distribution)\n",
     "  - [Install Using pip or pipenv](#Install-using-pipenv-or-pip)\n",
     "    - [Install without Dependencies](#Install-without-Dependencies)\n",
+    " -  [Install deep learning dependencies for arcgis.learn module](#Install-deep-learning-dependencies-for-arcgis.learn-module)\n",
+    "     -  [Install using conda (Anaconda)](#Install-using-conda-(Anaconda))\n",
+    "     - [Install using the Python Command Prompt (ArcGIS Pro 2.5)](#Install-using-the-Python-Command-Prompt-(ArcGIS-Pro-2.5))  \n",
     " - [Upgrade the `arcgis` package](#Upgrade-the-arcgis-package)\n",
     "   - [ArcGIS Pro 2.2](#ArcGIS-Pro-2.2)\n",
     "   - [ArcGIS Pro 2.1](#ArcGIS-Pro-2.1)\n",
@@ -97,6 +100,7 @@
     "   * Enter the following at the prompt:\n",
     "    ```python\n",
     "    conda install -c esri arcgis\n",
+    "    \n",
     "    ```\n",
     "\n",
     "![python command prompt](../../static/img/python_command_prompt.png)\n",
@@ -151,9 +155,85 @@
     "\n",
     "Both ```conda install -c esri arcgis``` and ```pip install arcgis``` will install all of the dependencies outlined in the [system requirements](https://developers.arcgis.com/python/guide/system-requirements/) section. However, the API can function in a 'stripped down' state with only the ```six``` dependency. This means you can manually manage the dependencies on your system if you don't want to use every feature of the API. \n",
     "\n",
-    "To install the API with no dependencies, simply add the ```--no-deps``` flag to any install command, i.e. ```conda install -c esri arcgis --no-deps``` or ```pip install arcgis --no-deps```. You can then manually choose which dependencies, if any, to add to your Python environment.\n",
+    "To install the API with no dependencies, simply add the ```--no-deps``` flag to any install command, i.e. ```conda install -c esri arcgis --no-deps``` or ```pip install arcgis --no-deps```. You can then manually choose which dependencies, if any, to add to your Python environment.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Install deep learning dependencies for arcgis.learn module"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you already have an environment with the `arcgis` package installed, you can further install its deep learning dependencies to take advantage of the `arcgis.learn` module. Some of the deep learning samples available [here](https://developers.arcgis.com/python/sample-notebooks/) can be referenced to understand the workflow."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install using conda (Anaconda)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Windows\n",
+    "\n",
+    "```conda install -c esri arcgis fastai pillow scikit-image```\n",
+    "\n",
+    "```conda install gdal=2.3.3```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Linux\n",
+    "\n",
+    "```conda install -c esri -c fastai -c pytorch arcgis pillow scikit-image fastai=1.0.54 pytorch=1.1.0```\n",
+    "\n",
+    "```conda install gdal=2.3.3```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install using the Python Command Prompt (ArcGIS Pro 2.5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Navigate to Start Menu > All Programs > ArcGIS > Python Command Prompt\n",
     "\n",
+    "Install the dependecies using the following command:\n",
+    "\n",
+    "```conda install -c esri arcgis fastai pillow scikit-image --no-pin```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For TensorFlow support in either of the above environments, install using the following command:\n",
+    "\n",
+    "```conda install -c esri tensorflow-gpu=2.0.0```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "***\n",
+    "\n",
     "## Upgrade the `arcgis` package\n",
     "#### ArcGIS Pro 2.2\n",
     "ArcGIS Pro 2.2 ships with the ArcGIS API for Python 1.4.1 installed. The initial ArcGIS Pro installation creates a default read-only conda environment named `arcgispro-py3`. To upgrade the ArcGIS API for Python package, use the [`Python Package Manager`](http://pro.arcgis.com/en/pro-app/arcpy/get-started/what-is-conda.htm) to create a new environment and then install the latest release of the ArcGIS API for Python:\n",
@@ -411,7 +491,7 @@
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    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.9"
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