"Developments related to big data problem solving, such as advanced high-performance hardware and software platforms, availability of data, collected manually and automatically through sensors and crowds, and the availability of suitable training datasets have greatly aided the latest advances in deep learning models, algorithms, and structures. This second edition provides up-to-date knowledge on deep learning and includes five new chapters, each focusing on a separate real-world problem to which deep learning is applied. These include problems in the fields of climate, water, landslides, satellite imagery, autonomous vehicles, and mobility"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.