Deep Learning: Concepts and Applications for Beginners Guide to Building Intelligent Systems
by Mark Howard
- Length: 132 pages
- Publication Date: 2018-09-14
Computer Vision with OpenCV 3 and Qt5
- Length: 486 pages
- Publication Date: 2018-01-02
Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery
by Katy Warr
- Length: 246 pages
- Publication Date: 2019-08-02
Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
by Ian Pointer
- Length: 220 pages
- Publication Date: 2019-10-08
Mastering Machine Learning with Python in Six Steps, 2nd Edition
- Length: 455 pages
- Publication Date: 2019-10-15
Deep Learning from Scratch: Building with Python from First Principles
by Seth Weidman
- Length: 252 pages
- Publication Date: 2019-09-24
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection
- Length: 285 pages
- Publication Date: 2019-10-11
Building Machine Learning and Deep Learning Models on Google Cloud Platform
by Ekaba Bisong
- Length: 709 pages
- Publication Date: 2019-10-18