Docs - Update documentation link (#175)

Co-authored-by: Kiriti Gowda <[email protected]>

docs/user_guide/ch3.md

@@ -2,7 +2,7 @@
 
 This chapter provides information about the installation of rocAL and related packages.  
 
-## 3.1 Prerequisites 
+## 3.1 Prerequisites
 
 * Linux distribution
 * [AMD RPP](https://github.com/ROCm/rpp)
@@ -16,15 +16,15 @@ This chapter provides information about the installation of rocAL and related pa
 
 ## 3.2 Platform Support
 
-To see the list of supported platforms for rocAL, see the ROCm Installation Guide at https://docs.amd.com.
+To see the list of supported platforms for rocAL, see the [ROCm Installation Guide](https://rocm.docs.amd.com).
 
-## 3.3 Installing rocAL 
+## 3.3 Installing rocAL
 
 To build and install the rocAL library, follow the instructions given [here](https://github.com/ROCm/rocAL#build-instructions)
 
 ## 3.4 Installing rocAL Python Package
 
-The rocAL Python package (rocal_pybind) is a separate redistributable wheel. rocal_pybind, which is created using Pybind11, enables data transfer between rocAL C++ API and Python API. With the help of rocal_pybind.so wrapper library, the rocAL functionality, which is primarily in C/C++, can be effectively used in Python. 
+The rocAL Python package (rocal_pybind) is a separate redistributable wheel. rocal_pybind, which is created using Pybind11, enables data transfer between rocAL C++ API and Python API. With the help of rocal_pybind.so wrapper library, the rocAL functionality, which is primarily in C/C++, can be effectively used in Python.
 The Python package supports PyTorch, TensorFlow, Caffe2, and data readers available for various formats such as FileReader, COCO Reader, TFRecord Reader, and CaffeReader.
 
 To build and install the Python package, install the PyPackageInstall instruction [here](https://github.com/ROCm/rocAL#build-instructions)