ISBN-13: 9783319827131, 978-3319827131. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Publisher: Springer International Publishing AG, Switzerland.
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Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learningespecially deep neural networksmake a real difference in your organization?.
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Published by World Scientific in 2023, this hardcover textbook is a must-read for advanced technical learners.
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NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY.
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A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning.
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R Deep Learning Essentials, Dr. Joshua F. Wiley, Very Good Condition Book. Width : 14.86 cmHeight : 1.85 cmLength : 21.41 cmAuthor : Dr. Joshua F. Wiley. Title: R Deep Learning Essentials. List Price : 31.99.
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