TensorFlow 2.0 Computer Vision Cookbook: Implement machine learning solutions to overcome various computer vision challenges

Key Features

• Develop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.x
• Discover practical recipes to overcome various challenges faced while building computer vision models
• Enable machines to gain a human level understanding to recognize and analyze digital images and videos

Book Description

Computer vision is a scientific field that enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer vision tasks using TensorFlow.

The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection.