Contentcentric Networks

Master Deep Learning: Neural Networks, NLP, GANs, Image Recognition, and Business Applications

Master Deep Learning and Neural Networks Theory and Applications with Python and PyTorch! Including NLP and Transformers

Deep Learning and Computer Vision using Convolutional Neural Networks with Python, Pytorch. Train, Test, Deploy Models

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

Unlocking PCNSA: In-Depth Guide to Certified Network Security Administrator, Strategies, Best Practices and Exam Prep.

This book is targeted to provide network engineers and researchers with design guidelines for large scale wireless ad hoc networks. This book includes state-of-the-art techniques and solutions for wireless ad-hoc networks. It focuses on the following topics in ad-hoc networks: quality-of-service and video communication, routing protocol and cross-layer design. A few interesting problems about security and delay-tolerant networks are also discussed.

This book includes state-of the-art techniques and solutions for wireless ad-hoc networks. It focuses on the following topics in ad-hoc networks: vehicular ad-hoc networks, security and caching, TCP in ad-hoc networks and emerging applications. It is targeted to provide network engineers and researchers with design guidelines for large scale wireless ad hoc networks.

You will learn Open RAN and how to build 4G / 5G networks using opensource software and general-purpose, COTS hardware