Bayesina Networks

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

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

This book constitutes the refereed proceedings of the 9th International Conference on Ad Hoc Networks, AdHocNets 2017, held in Niagara Falls, Ontario, USA, in September 2017. The 19 full papers were selected from 30 submissions and cover a variety of network paradigms including mobile ad hoc networks (MANETs), sensor networks, vehicular networks, underwater networks, airborne networks, underground networks, personal area networks, device-to-device (D2D) communications in 5G cellular networks, and home networks. The papers present a wide range of applications in civilian, commercial, and military areas.

Learn the fundamentals of Deep Learning of neural networks in Python both in theory and practice!

Learn Hopfield networks and neural networks (and back-propagation) theory and implementation in Python

Learn From the Scratch to Expert Level: Deep Learning & Generative Adversarial Networks (GAN) using Python with Keras