ABSTRACT
This chapter outlines the PyTorch framework and related software library installation process on a GPU workstation to implement deep learning models. It provides a guideline for installing Anaconda and setting up environment variables to ensure PyToch, Compute Unified Device Architecture (CUDA), and CUDA Deep Neural Network (cuDNN) utilization. The procedures described in this chapter are specific to Nvidia GPUs and Windows workstations. The chapter also highlights OpenCV and additional library installations for advanced computer vision and machine learning operations. The installation process covered in this chapter is a pre-requisite for applying the case study programs presented in Chaps 6–9 of this book.
