update samples from Release-148 as a part of SDK release

how-to-use-azureml/automated-machine-learning/automl_env.yml

@@ -17,7 +17,7 @@ dependencies:
 - notebook
 - pywin32==227
 - PySocks==1.7.1
-- jsonschema==4.5.1
+- jsonschema==4.6.0
 - conda-forge::pyqt==5.12.3
 
 - pip:

how-to-use-azureml/ml-frameworks/keras/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.ipynb

@@ -437,7 +437,8 @@
         "  - azureml-defaults\n",
         "  - tensorflow-gpu==2.0.0\n",
         "  - keras<=2.3.1\n",
-        "  - matplotlib"
+        "  - matplotlib\n",
+        "  - protobuf==3.20.1"
       ]
     },
     {
@@ -989,6 +990,7 @@
         "cd.add_conda_package('h5py<=2.10.0')\n",
         "cd.add_conda_package('keras<=2.3.1')\n",
         "cd.add_pip_package(\"azureml-defaults\")\n",
+        "cd.add_pip_package(\"protobuf==3.20.1\")\n",
         "cd.save_to_file(base_directory='./', conda_file_path='myenv.yml')\n",
         "\n",
         "print(cd.serialize_to_string())"

how-to-use-azureml/ml-frameworks/tensorflow/train-hyperparameter-tune-deploy-with-tensorflow/train-hyperparameter-tune-deploy-with-tensorflow.ipynb

@@ -943,6 +943,7 @@
         "cd.add_conda_package('numpy')\n",
         "cd.add_pip_package('tensorflow==2.2.0')\n",
         "cd.add_pip_package(\"azureml-defaults\")\n",
+        "cd.add_pip_package(\"protobuf==3.20.1\")\n",
         "cd.save_to_file(base_directory='./', conda_file_path='myenv.yml')\n",
         "\n",
         "print(cd.serialize_to_string())"