Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence, 385)

Price: $199.99 – $154.98
(as of Dec 24,2024 05:37:34 UTC – Details)

Publisher ‏ : ‎ Springer; 2012th edition (February 9, 2012)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 160 pages
ISBN-10 ‏ : ‎ 3642247962
ISBN-13 ‏ : ‎ 978-3642247965
Item Weight ‏ : ‎ 12 ounces
Dimensions ‏ : ‎ 6.5 x 0.75 x 9.5 inches

Supervised Sequence Labelling with Recurrent Neural Networks: A Deep Dive into the Latest Research (Studies in Computational Intelligence, 385)

In recent years, recurrent neural networks (RNNs) have emerged as a powerful tool for sequence labelling tasks such as named entity recognition, part-of-speech tagging, and speech recognition. These models have the ability to capture long-range dependencies in sequential data, making them well-suited for tasks where context is crucial.

In the book “Supervised Sequence Labelling with Recurrent Neural Networks” (Studies in Computational Intelligence, 385), leading researchers in the field provide a comprehensive overview of the latest advancements in this area. The book covers topics such as the theoretical foundations of RNNs, practical considerations for training and optimizing these models, and state-of-the-art applications in natural language processing, bioinformatics, and more.

Whether you are a seasoned researcher looking to stay up-to-date on the latest developments in sequence labelling, or a practitioner interested in applying RNNs to real-world problems, this book is a valuable resource. With contributions from experts in academia and industry, “Supervised Sequence Labelling with Recurrent Neural Networks” offers a thorough exploration of the capabilities and limitations of RNNs for sequence labelling tasks.

Pick up your copy today and dive into the exciting world of supervised sequence labelling with recurrent neural networks.
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