Merge pull request #192727 from lgayhardt/patch-71

fix link text

Author: PRMerger18

articles/machine-learning/concept-compute-target.md

@@ -132,8 +132,8 @@ If using the GPU-enabled compute targets, it is important to ensure that the cor
 
 In addition to ensuring the CUDA version and hardware are compatible, also ensure that the CUDA version is compatible with the version of the machine learning framework you are using: 
 
-- For PyTorch, you can check the compatibility [here](https://pytorch.org/get-started/previous-versions/). 
-- For Tensorflow, you can check the compatibility [here](https://www.tensorflow.org/install/source#gpu).
+- For PyTorch, you can check the compatibility by visiting [Pytorch's previous versions page](https://pytorch.org/get-started/previous-versions/). 
+- For Tensorflow, you can check the compatibility by visiting [Tensorflow's build from source page](https://www.tensorflow.org/install/source#gpu).
 
 ### Compute isolation