Addison Wesley – Professional Cloud Architecture and Certification Jump Start

Addison Wesley – Professional Cloud Architecture and Certification Jump Start-RiDWARE
English | Size: 3.16 GB
Category: Tutorial


The Cloud Technology and Certifications Jump Start video course covers critical information about cloud technologies, including the Big Four public cloud vendors and their offerings. This course also covers such practical guidance as how to plan a migration to the cloud and the tools available for migration

Addison Wesley Professional Continuous Encryption on AWS The DevSecOps on AWS Series

Addison Wesley Professional Continuous Encryption on AWS The DevSecOps on AWS Series REPACK-XCODE
English | Size: 8.94 GB
Category: Tutorial


Release Info: In this course, you learn how to use AWS services that provide the capability to define encryption and compliance as code
Repack note: It came to our attention that our original release had videos cut at 1m
This was of course not our intention. Enjoy our repack

Addison Wesley Professional Machine Vision GANs and Deep Reinforcement Learning Sneak Peak

Addison Wesley Professional Machine Vision GANs and Deep Reinforcement Learning Sneak Peak-XCODE
English | Size: 1.38 GB
Category: Tutorial

An intuitive introduction to the latest superhuman capabilities facilitated by Deep Learning.
Machine Vision, GANs, Deep Reinforcement Learning LiveLessons is an introduction to three of the most exciting topics in Deep Learning today. Modern machine vision involves automated systems outperforming humans on image recognition, object detection, and image segmentation tasks. Generative Adversarial Networks cast two Deep Learning networks against each other in a “forger-detective” relationship, enabling the fabrication of stunning, photorealistic images with flexible, user-specifiable elements. Deep Reinforcement Learning has produced equally surprising advances, including the bulk of the most widely-publicized “artificial intelligence” breakthroughs. Deep RL involves training an “agent” to become adept in given “environments,” enabling algorithms to meet or surpass human-level performance on a diverse range of complex challenges, including Atari video games, the board game Go, and subtle hand-manipulation tasks. Throughout these lessons, essential theory is brought to life with intuitive explanations and interactive, hands-on Jupyter notebook demos. Examples feature Python and straightforward Keras layers in TensorFlow 2, the most popular Deep Learning library.