Free Download Introduction to Transfer Learning: Algorithms and PracticeEnglish | 2023 | ISBN: 9811975833 | 521 Pages | PDF EPUB (True) | 51 MB
Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning.
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