readme.md

aml_config/conda_dependencies.yml

@@ -28,10 +28,10 @@ dependencies:
   - pip:
     # The API for Azure Machine Learning Model Management Service.
     # Details: https://github.com/Azure/Machine-Learning-Operationalization
-    - azure-ml-api-sdk==0.1.0a10
+    - azure-ml-api-sdk==0.1.0a11
 
     # Library for collecting data from operationalized models
     - azureml.datacollector==0.1.0a13
 
     # Helper utilities for dealing with Azure ML Workbench Assets.
-    - https://azuremldownloads.blob.core.windows.net/wheels/latest/azureml.assets-1.0.0-py3-none-any.whl?sv=2016-05-31&si=ro-2017&sr=c&sig=xnUdTm0B%2F%2FfknhTaRInBXyu2QTTt8wA3OsXwGVgU%2BJk%3D
+    - https://azuremldownloads.blob.core.windows.net/wheels/latest/azureml.assets-1.0.0-py3-none-any.whl?sv=2016-05-31&si=ro-2017&sr=c&sig=xnUdTm0B%2F%2FfknhTaRInBXyu2QTTt8wA3OsXwGVgU%2BJk%3D

aml_config/docker.compute

@@ -1,4 +1,4 @@
 type: "localdocker"
-baseDockerImage: "microsoft/mmlspark:plus-0.7.91"
+baseDockerImage: "microsoft/mmlspark:plus-0.9.9"
 #nativeSharedDirectory: "~/.azureml/share/"
 #sharedVolumes: true

readme.md

@@ -1,5 +1,7 @@
 # Classify MNIST dataset using TensorFlow
 
+> **NOTE** This content is no longer maintained. Visit the [Azure Machine Learning Notebook](https://github.com/Azure/MachineLearningNotebooks) project for sample Jupyter notebooks for ML and deep learning with Azure Machine Learning.
+
 This sample uses the popular [TensorFlow](https://www.tensorflow.org/) machine learning library from Google to classify the ageless [MNIST dataset](http://yann.lecun.com/exdb/mnist/) of handwritten digits.
 
 ## Logging code