The advancement of telecommunication networks, marked by the transition from 5G to 6G technologies, indicates a significant transformation in how we connect, communicate, and spread information. In this thesis we investigate the deep integration of machine learning (ML) and deep neural networks (DNN) within this technological change, outlining their pivotal role in strengthening modern communication networks. The research offers a detailed overview of the strides in 5G/6G technologies and emphasises the critical role of ML in enhancing communication infrastructures to meet escalating data traffic needs. A specific focus is placed on NVIDIA's contributions, mainly through their Sionna library. This tool not only serves as a vital link in connecting 5G Physical layer simulations with advanced ML toolkits but also showcases Nvidia’s commitment to leading innovations in telecommunications.