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Deep Learning: From Algorithmic Essence to Industrial Practice
Paperback
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ISBN10: 0443439540
ISBN13: 9780443439544
Publisher: Elsevier
Published: Jul 28 2025
Pages: 472
Weight: 1.75
Height: 0.90 Width: 6.00 Depth: 8.90
Language: English
ISBN13: 9780443439544
Publisher: Elsevier
Published: Jul 28 2025
Pages: 472
Weight: 1.75
Height: 0.90 Width: 6.00 Depth: 8.90
Language: English
Deep Learning: From Algorithmic Essence to Industrial Practice introduces the fundamental theories of deep learning, engineering practices, and their deployment and application in the industry. This book provides a detailed explanation of classic convolutional neural networks, recurrent neural networks, and transformer networks based on self-attention mechanisms, along with their variants, combining code demonstrations. Additionally, this book covers the applications of these models in areas including image classification, object detection, and semantic segmentation. This book also considers advancements in deep reinforcement learning and generative adversarial networks making it suitable for graduate and senior undergraduate students with backgrounds in computer science, automation, electronics, communications, mathematics, and physics, as well as professional technical personnel who wish to work or are preparing to transition into the field of artificial intelligence
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