Practical Machine Learning for Computer Vision

ABSTRACT

Employing machine learning models to extract information from images can be daunting for software developers. This book provides intuitive explanations of visual architectures alongside practical code for classification and object detection. It focuses on using TensorFlow and Keras to put accurate models into large scale production. It is a fantastic bridge for traditional developers entering the artificial intelligence space.