Update metadata description

Author: mattwojo

WSL/tutorials/gpu-compute.md

@@ -1,8 +1,8 @@
 ---
 title: GPU accelerated ML training in WSL
-description: Learn more about WSL 2 support for NVIDIA CUDA, DirectML, Tensorflow, and PyTorch.
+description: Learn more about WSL 2 support for NVIDIA CUDA, DirectML, Tensorflow, and PyTorch. Read about Windows Subsystem for Linux support for GPU acceleration when performing Machine Learning training.
 keywords: wsl, windows, windows subsystem, gpu compute, gpu acceleration, NVIDIA, CUDA, DirectML, Tensorflow, PyTorch, NVIDIA CUDA preview, GPU driver, NVIDIA Container Toolkit, Docker
-ms.date: 06/17/2020
+ms.date: 04/07/2021
 ms.topic: article
 ms.localizationpriority: medium
 ---
@@ -20,4 +20,4 @@ Leveraging GPU acceleration for compute-intensive tasks is generally referred  t
 Learn more about WSL 2 support and how to start training machine learning models in the [GPU Accelerated Training guide](/windows/win32/direct3d12/gpu-accelerated-training) inside the DirectML docs. This guide covers:
 
 * Guidance for beginners or students to set up TensorFlow with DirectML
-* Guidance for professionals to start running their exisiting CUDA ML workflows
+* Guidance for professionals to start running their exisiting CUDA ML workflows