add tf link

Author: parrt

README.md

@@ -93,7 +93,7 @@ See [Installation instructions](README.md#Installation) then take a look at the
 * [sklearn-based examples](notebooks/dtreeviz_sklearn_visualisations.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/dtreeviz_sklearn_visualisations.ipynb))
 * [LightGBM-based examples](notebooks/dtreeviz_lightgbm_visualisations.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/dtreeviz_lightgbm_visualisations.ipynb))
 * [Spark-based examples](notebooks/dtreeviz_spark_visualisations.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/dtreeviz_spark_visualisations.ipynb))
-* [TensorFlow-based examples](notebooks/dtreeviz_tensorflow_visualisations.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/dtreeviz_tensorflow_visualisations.ipynb))
+* [TensorFlow-based examples](notebooks/dtreeviz_tensorflow_visualisations.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/dtreeviz_tensorflow_visualisations.ipynb)) Also see blog at tensorflow.org [Visualizing TensorFlow Decision Forest Trees with dtreeviz](https://www.tensorflow.org/decision_forests/tutorials/dtreeviz_colab)
 * [XGBoost-based examples](notebooks/dtreeviz_xgboost_visualisations.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/dtreeviz_xgboost_visualisations.ipynb))
 * [Classifier decision boundaries for any scikit-learn model.ipynb](https://github.com/parrt/dtreeviz/tree/master/notebooks/classifier-decision-boundaries.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/classifier-decision-boundaries.ipynb))
 * [Changing colors notebook](notebooks/colors.ipynb) ([colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/colors.ipynb))

notebooks/dtreeviz_tensorflow_visualisations.ipynb

@@ -9,6 +9,8 @@
     "\n",
     "([View this notebook in Colab](https://colab.research.google.com/github/parrt/dtreeviz/blob/master/notebooks/dtreeviz_tensorflow_visualisations.ipynb))\n",
     "\n",
+    "See also the blog at tensorflow.org [Visualizing TensorFlow Decision Forest Trees with dtreeviz](https://www.tensorflow.org/decision_forests/tutorials/dtreeviz_colab)\n",
+    "\n",
     "The [dtreeviz](https://github.com/parrt/dtreeviz) library is designed to help machine learning practitioners visualize and interpret decision trees and decision-tree-based models, such as gradient boosting machines.  \n",
     "\n",
     "The purpose of this notebook is to illustrate the main capabilities and functions of the dtreeviz API. To do that, we will use TensorFlow Decision Forests and the toy but well-known Titanic data set for illustrative purposes.  Currently, dtreeviz supports the following decision tree libraries:\n",