Computer Vision (Training)

Colleagues, this Computer Vision training program equips you to write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects. Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. Training modules - each with a hands-on project cover: 1) Introduction to Computer Vision - Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks (Project: Facial Keypoint Detection), 2) Facial Keypoint Detection - Advanced Computer Vision and Deep Learning, learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application (Project: Automatic Image Captioning), and 3) Automatic Image Captioning - Object Tracking and Localization, learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight (Project: Landmark Detection and Tracking). Basic knowledge of Python, Statistics, Machine Learning and  Deep Learning is recommended.

Sign-up today (teams & execs welcome): https://tinyurl.com/3s9syf3r 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy