Introduction to Software Tool Set

This chapter presents tool sets for deep learning applications and primarily focuses to illustrate the instructions to configure the environment step by step with data, operating system, application, hardware, and other auxiliary services. The novelty of this section is describing the detailed practical configuration techniques for setting up of virtual environments with TensorFlow and PyTorch open-source tool in governance with IBM Watson and Keras Support. The book further presents the eye-opening techniques to install, configure, and run methods for machine learning coding editors such as Jupyter Notebook in various environments. More importantly, the practical training of tool engagement for deep learning is inevitable for students, professionals, domain experts, and data scientists which is highly recommended to gain the best learning experience.