E-book details

Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques

Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques

Krishnendu Kar

Ebook
Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks.
  • 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
  • Title: Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques
  • Author: Krishnendu Kar
  • Original title: Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques
  • ISBN: 9781838826932, 9781838826932
  • Date of issue: 2020-05-15
  • Format: Ebook
  • Item ID: e_2ad1
  • Publisher: Packt Publishing