remove tf deps

Author: Priyanka Tuteja

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

@@ -259,7 +259,10 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    }
    },
    "source": [
     "## Install as a Docker image\n",
@@ -411,13 +414,11 @@
    "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.\n",
     "\n",
-    "**Note:** To use the deep learning capabilities in ArcGIS Pro 2.9 / ArcGIS API for Python 1.9.0 onwards, the minimum required version of the Nvidia GPU driver is 456.38.\n",
-    "\n",
     "### Using the Deep Learning Frameworks Installer\n",
     "\n",
     "To work with the deep learning tools in ArcGIS Pro 2.6 and later, you need to install supported deep learning frameworks packages.\n",
     "\n",
-    "`Deep Learning Libraries Installer for ArcGIS` is now available at https://github.com/Esri/deep-learning-frameworks. 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. Note that this will install the deep learning frameworks into your currently active Pro Python environment; if you wish to install in an environment aside from the default arcgispro-py3 environment, switch to that environment before running the MSI using either ArcGIS Pro's Python manager UI or on the command line with proswap. Any subsequent clones of that environment will also include this full collection of packages. \n",
+    "`Deep Learning Libraries Installer for ArcGIS` is now available at https://github.com/Esri/deep-learning-frameworks. This installer includes a broad collection of components, such as PyTorch, Fast.ai and scikit-learn, for performing deep learning and machine learning tasks. Note that this will install the deep learning frameworks into your currently active Pro Python environment; if you wish to install in an environment aside from the default arcgispro-py3 environment, switch to that environment before running the MSI using either ArcGIS Pro's Python manager UI or on the command line with proswap. Any subsequent clones of that environment will also include this full collection of packages. \n",
     "\n",
     "For instructions on how to install deep learning frameworks manually or over ArcGIS Image Server, click [here](https://github.com/Esri/deep-learning-frameworks/)."
    ]
@@ -446,31 +447,29 @@
     "Alternatively,  \n",
     "for a cloned environment of ArcGIS Pro's default environment, `deep-learning-essentials` metapackage can be used to install the required dependencies which can be done using the following command, in the _`Python Command Prompt`_ <i>(included with ArcGIS Pro)</i>:\n",
     "\n",
-    "`conda install deep-learning-essentials`\n"
+    "`conda install -c esri deep-learning-essentials`\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "####  For Anaconda users (Windows & Linux platforms):"
+    "####  For Anaconda users (Windows):"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "`arcgis_learn` metapackage can be used for both windows and linux installations of Anaconda in a new environment.\n",
+    "`arcgis_learn` metapackage can be used for windows installation of Anaconda in a new environment.\n",
     "\n",
     "The following command will update Anaconda to the latest version.\n",
     "\n",
     "```conda update conda```\n",
     "\n",
     "After that, metapackage can be installed using the command below:\n",
     "\n",
-    "```conda install -c esri arcgis_learn=2.1.0 python=3.9```\n",
-    "\n",
-    "Note: Python version 3.7 and 3.8 are also supported with this command."
+    "```conda install -c esri arcgis_learn=<api_version>```"
    ]
   },
   {
@@ -564,9 +563,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python [conda env:arcgispro-py3-clone] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-env-arcgispro-py3-clone-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -578,7 +577,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.13.7"
   },
   "toc": {
    "base_numbering": 1,