Merge pull request #125690 from changeworld/patch-102

Fix typo

Author: ttorble

articles/synapse-analytics/machine-learning/concept-deep-learning.md

@@ -34,11 +34,11 @@ To simplify the process for creating and managing pools, Azure Synapse takes car
 
 Azure Synapse Analytics provides built-in support for deep learning infrastructure. The Azure Synapse Analytics runtimes for Apache Spark 3 include support for the most common deep learning libraries like TensorFlow and PyTorch. The Azure Synapse runtime also includes supporting libraries like Petastorm and Horovod which are commonly used for distributed training.
 
-### Tensorflow
+### TensorFlow
 
 TensorFlow is an open source machine learning framework for all developers. It is used for implementing machine learning and deep learning applications.
 
-For more information about Tensorflow, you can visit the [Tensorflow API documentation](https://www.tensorflow.org/api_docs/python/tf).
+For more information about TensorFlow, you can visit the [TensorFlow API documentation](https://www.tensorflow.org/api_docs/python/tf).
 
 ### PyTorch
 
@@ -52,13 +52,13 @@ Horovod is a distributed deep learning training framework for TensorFlow, Keras,
 
 To learn more about how to run distributed training jobs in Azure Synapse Analytics, you can visit the following tutorials:
     - [Tutorial: Distributed training with Horovod and PyTorch](./tutorial-horovod-pytorch.md)
-    - [Tutorial: Distributed training with Horovod and Tensorflow](./tutorial-horovod-tensorflow.md)
+    - [Tutorial: Distributed training with Horovod and TensorFlow](./tutorial-horovod-tensorflow.md)
 
 For more information about Horovod, you can visit the [Horovod documentation](https://horovod.readthedocs.io/en/stable/),
 
 ### Petastorm
 
-Petastorm is an open source data access library which enables single-node or distributed training of deep learning models. This library enables training directly from datasets in Apache Parquet format and datasets that have already been loaded as an Apache Spark DataFrame. Petastorm supports popular training frameworks such as Tensorflow and PyTorch.
+Petastorm is an open source data access library which enables single-node or distributed training of deep learning models. This library enables training directly from datasets in Apache Parquet format and datasets that have already been loaded as an Apache Spark DataFrame. Petastorm supports popular training frameworks such as TensorFlow and PyTorch.
 
 For more information about Petastorm, you can visit the [Petastorm GitHub page](https://github.com/uber/petastorm) or the [Petastorm API documentation](https://petastorm.readthedocs.io/en/latest/).