Add readme for keras iris example

.gitignore

@@ -306,3 +306,4 @@ examples/TensorFlow/Keras/keras_to_MDF
 /examples/TensorFlow/Keras/IRIS/keras_to_MDF
 /examples/TensorFlow/Keras/MNIST/keras_to_MDF
 /examples/TensorFlow/Keras/MNIST/keras_to_MDF.1
+/examples/TensorFlow/Keras/IRIS/keras_to_MDF.1

examples/TensorFlow/Keras/IRIS/README.md

@@ -0,0 +1,34 @@
+# Keras to MDF example: IRIS dataset
+
+**For more details on Keras and the current state of the Keras->MDF mapping see the [MNIST example](../MNIST).**
+
+This model uses the [IRIS dataset](https://en.wikipedia.org/wiki/Iris_flower_data_set) in the [trained Keras model](keras_model.py) and the MDF equivalent.
+
+### Summarize Model
+
+Below is the summary image of the trained Keras model. We can clearly see the output shape and number of weights in each layer:
+
+![summary](summary.png)
+
+
+### Keras Model
+
+Visualization of the model from Keras:
+
+<p align="center"><img src="model_on_iris_plot.png"/></p>
+<br>
+
+### MDF Model
+
+Graphviz is used to generate visualization for the MDF graph. Below is the visualization of the MDF graph after converting the keras model to MDF.
+
+![keras_to_MDF](keras_to_MDF.1.png)
+
+More detailed graphical representation of the MDF:
+
+<p align="center"><img src="keras_to_MDF.png" width="400"/></p>
+
+##### Netron
+Below is the visualization of this model using netron
+
+![keras-model-to-netron](layers_netron.png)

examples/TensorFlow/Keras/IRIS/keras_model.py

@@ -70,6 +70,10 @@
 val_loss, val_acc = model.evaluate(X_test, y_test)
 print(val_loss, val_acc)
 
+
+# Print summary
+model.summary()
+
 # plot the model
 print("Plotting the model")
 plot_model(

examples/TensorFlow/Keras/IRIS/keras_to_MDF.py

@@ -43,6 +43,16 @@
 # Get mdf graph
 mdf_graph = mdf_model.graphs[0]
 
+# visualize mdf graph-image
+mdf_model.to_graph_image(
+    engine="dot",
+    output_format="png",
+    view_on_render=False,
+    level=1,
+    filename_root="keras_to_MDF.1",
+    is_horizontal=True,
+    solid_color=True,
+)
 # visualize mdf graph-image
 mdf_model.to_graph_image(
     engine="dot",

examples/TensorFlow/Keras/MNIST/README.md

@@ -1,6 +1,4 @@
-# Keras to/from MDF
-
-**NOTE: this is still a work in progress!**
+# Keras to MDF example: MNIST
 
 ## Keras
 
@@ -69,7 +67,7 @@ The number of parameters (weights) in each layer.
 The total number of parameters (weights) in the model.
 The summary can be created by calling the 'summary()' function on the model that returns a string that in turn can be printed.
 
-Below is the Summary image captured from of this model, We can clearly see the output shape and number of weights in each layer:
+Below is the summary image of the trained Keras model. We can clearly see the output shape and number of weights in each layer:
 
 ![summary](summary.png)
 

examples/TensorFlow/Keras/regenerate.sh

@@ -3,7 +3,7 @@ set -ex
 
 # Script to regenerate and test the examples
 
-cd MNIST 
+cd MNIST
 
 python keras_model.py -nogui