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出版Xoffencerpublication, 2023-04-24
主題Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
ISBN93947077949789394707795
URLhttp://books.google.com.hk/books?id=22MwEQAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋In the most recent few years, tremendous technical progress has been made in the creation of high-throughput graphics processing units in addition to parallel processing. Processing in parallel has allowed for the realisation of these recent advancements. (GPUs). The amount of computational power that is now accessible has significantly risen, yet the needed amount of power consumption has stayed the same. Highperformance parallel processing units are now accessible at a price that is affordable for almost everyone. This is because many of these systems are developed for the consumer market to deliver high-definition gaming experiences. Although they have been considerably altered to make graphical calculations more effective, they are broad enough to be utilised in a range of different jobs that may be completed concurrently. This is despite the fact that they have been adjusted to make graphical calculations more effective. This new advancement will have a tremendous impact on the whole area of study that focuses on deep learning. At this point in time, it is feasible for anybody to use the most recent techniques of deep learning to their work, regardless of whether they are doing their study in conventional laboratories or at home. Deep learning is a subfield of machine learning that has shown its usefulness for a variety of activities that are deemed simple for humans but too tough for computers to handle on their own. Image recognition, natural language processing, and voice recognition are all examples of the tasks that fall under this category. Natural language processing and image analysis are two examples of this kind of technology. Both of these include the categorization, identification, and segmentation of various items inside pictures. This paves the way for the development of autonomous systems, which in turn paves the way for an infinite number of additional possibilities.