Information science Hands-on machine learning ValliappaLakshmanan / MartinGorner for Computer Vision

Product description ※Please note that product information is not in full comprehensive meaning because of the machine translation.

Information Science
Covers machine learning for computer vision from fundamentals to applications to MLOps! A practical guide to solving a variety of image-related problems using machine learning models. Computer vision is one of the hottest areas of machine learning. This guide is intended for machine learning engineers and data scientists. It covers machine learning techniques, architectures, challenges, and operations related to computer vision. You learn how machine learning technology can solve image-related problems such as classification, object detection, segmentation, anomaly detection, image generation, and caption generation. You can also master standard machine learning operations such as dataset creation, preprocessing, model design, learning, evaluation, deployment, and monitoring, all the way to MLOps simultaneously. The Japanese version reveals more about the current state of image generation AI by adding the latest information such as the use of TRANSFORMERS and diffusion models.