diff --git a/SECURITY.md b/SECURITY.md
deleted file mode 100644
index 869fdfe2b..000000000
--- a/SECURITY.md
+++ /dev/null
@@ -1,41 +0,0 @@
-<!-- BEGIN MICROSOFT SECURITY.MD V0.0.7 BLOCK -->
-
-## Security
-
-Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/).
-
-If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/opensource/security/definition), please report it to us as described below.
-
-## Reporting Security Issues
-
-**Please do not report security vulnerabilities through public GitHub issues.**
-
-Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/opensource/security/create-report).
-
-If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/opensource/security/pgpkey).
-
-You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://aka.ms/opensource/security/msrc).
-
-Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
-
- * Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
- * Full paths of source file(s) related to the manifestation of the issue
- * The location of the affected source code (tag/branch/commit or direct URL)
- * Any special configuration required to reproduce the issue
- * Step-by-step instructions to reproduce the issue
- * Proof-of-concept or exploit code (if possible)
- * Impact of the issue, including how an attacker might exploit the issue
-
-This information will help us triage your report more quickly.
-
-If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/opensource/security/bounty) page for more details about our active programs.
-
-## Preferred Languages
-
-We prefer all communications to be in English.
-
-## Policy
-
-Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/opensource/security/cvd).
-
-<!-- END MICROSOFT SECURITY.MD BLOCK -->
diff --git a/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/keras-mnist-fashion/train.py b/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/keras-mnist-fashion/train.py
index b0215ad1b..7cb8d72a9 100644
--- a/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/keras-mnist-fashion/train.py
+++ b/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/keras-mnist-fashion/train.py
@@ -1,10 +1,11 @@
-import keras
-from keras.models import Sequential
-from keras.layers import Dense, Dropout, Flatten
-from keras.layers import Conv2D, MaxPooling2D
-from keras.layers.normalization import BatchNormalization
-from keras.utils import to_categorical
-from keras.callbacks import Callback
+from tensorflow.keras.models import Sequential
+from tensorflow.keras.layers import Dense, Dropout, Flatten
+from tensorflow.keras.layers import Conv2D, MaxPooling2D
+from tensorflow.keras.layers import BatchNormalization
+from tensorflow.keras.losses import categorical_crossentropy
+from tensorflow.keras.optimizers import Adam
+from tensorflow.keras.utils import to_categorical
+from tensorflow.keras.callbacks import Callback
import numpy as np
import pandas as pd
@@ -64,8 +65,8 @@
model.add(Dropout(0.3))
model.add(Dense(num_classes, activation='softmax'))
-model.compile(loss=keras.losses.categorical_crossentropy,
- optimizer=keras.optimizers.Adam(),
+model.compile(loss=categorical_crossentropy,
+ optimizer=Adam(),
metrics=['accuracy'])
# start an Azure ML run
diff --git a/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb b/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb
index 648dfce42..14044ce41 100644
--- a/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb
+++ b/how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb
@@ -270,16 +270,19 @@
"%%writefile conda_dependencies.yml\n",
"\n",
"dependencies:\n",
- "- python=3.6.2\n",
+ "- python=3.8\n",
+ "- pip==20.2.4\n",
"- pip:\n",
" - azureml-core\n",
" - azureml-dataset-runtime\n",
- " - keras==2.4.3\n",
- " - tensorflow==2.4.3\n",
+ " - keras==2.6\n",
+ " - tensorflow-gpu==2.6\n",
" - numpy\n",
" - scikit-learn\n",
" - pandas\n",
- " - matplotlib"
+ " - matplotlib\n",
+ " - protobuf==3.20.1\n",
+ " - typing-extensions==4.3.0"
]
},
{