Mastering Computer Vision with TensorFlow 2.x

Table of Contents

1. Computer Vision and Tensorflow Fundamentals
2. Content Recognition using Local Binary Pattern
3. Face Recognition and Tracking using Viola Jones Algorithm & OpenCV
4. Deep learning on images
5. Neural Network Architecture & Models
6. Visual Search using Transfer Learning
7. Object Detection using YOLO
8. Semantic Segmentation and Neural Style Transfer
9. Action Recognition using Multitask Deep Learning
10. Object Classification and Detection using RCNN
11. Deep Learning on Edge Devices with GPU/CPU Optimization
12. Cloud Computing Platform for Computer Vision