update link from previous guide to blog page

Author: jyaistMap

guide/14-deep-learning/training-mobile-ready-models-using-tensorflow-lite.ipynb

@@ -79,8 +79,8 @@
    "source": [
     "## Prerequisites\n",
     "\n",
-    "- This workflow builds on the basic workflow followed to train deep learning models with `arcgis.learn` module. It is recommended to have first readt the basic workflow [here](https://developers.arcgis.com/python/guide/geospatial-deep-learning/) if you hvae not done so previously. \n",
-    "- To train mobile-ready light models, the [**TensorFlow**](https://www.tensorflow.org/) library needs to be installed in addition to fastai and PyTorch. Please refer to the section \"Install deep learning dependencies of arcgis.learn module\" [on this page](https://developers.arcgis.com/python/guide/install-and-set-up/#Install-deep-learning-dependencies-for-arcgis.learn-module) for detailed documentation on the installation of these dependencies.\n"
+    "- This workflow builds on the basic workflow followed to train deep learning models with `arcgis.learn` module. It is recommended to first read the basic workflow [here](https://www.esri.com/arcgis-blog/products/api-python/analytics/deep-learning-models-in-arcgis-learn/) if you have not done so previously. \n",
+    "- To train mobile-ready light models, the [**TensorFlow**](https://www.tensorflow.org/) library needs to be installed in addition to fastai and PyTorch. Please refer to the section \"Using the Deep Learning Frameworks Installer\" [on this page](/python/guide/install-and-set-up/#using-the-deep-learning-frameworks-installer) for detailed documentation on the installation of these dependencies.\n"
    ]
   },
   {