Computer Networks Training

Apply computer vision and machine learning concepts in developing business and industrial applications ​using a practical, step-by-step approach.

Advanced neural networks: Master Computer Vision with Convolutional Neural Networks (CNN) and Deep Learning

Network and IT security is no joke. In a matter of seconds, hackers can access closed networks and view files, accounts, and even steal identities. This course is designed to introduce these concepts and the real-world tactics that hackers use, so that you can protect yourself and your network. While this course includes step-by-step instructions for advanced hacking techniques, it is designed to help you prevent an attack. We do not recommend using these tactics to infiltrate networks or IT systems that are not your own.

This book provides a comprehensive review and in-depth study on efficient beamforming design and rigorous performance analysis in mmWave networks, covering beam alignment, beamforming training and beamforming-aided caching. Due to significant beam alignment latency between the transmitter and the receiver in existing mmWave systems, this book proposes a machine learning based beam alignment algorithm for mmWave networks to determine the optimal beam pair with a low latency.