Häftad, Engelska, 2025
Deep Learning
From Algorithmic Essence to Industrial Practice
Av Shuhao Wang, Gang Xu
3239 kr
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Beskrivning
The code for book may be accessed by visiting the companion website: https://www.
elsevier.com/books-and-journals/book-companion/9780443439544
- Provides in-depth explanations and practical code examples for the latest deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers
- Examines theoretical concepts and the engineering practices required for deploying deep learning models in real-world scenarios
- Covers the use of distributed systems for training and deploying models
- Includes detailed case studies and applications of deep learning models in various domains including image classification, object detection, and semantic segmentation
Produktinformation
- Utgivningsdatum: 2025-07-28
- Mått: 152 x 229 x undefined mm
- Vikt: 770 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 472
- Förlag: Elsevier Science
- ISBN: 9780443439544
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Mer information
Dr Shuhao Wang received his from Tsinghua University; he is a fellow at the Institute for Interdisciplinary Information Sciences at Tsinghua University and is currently the co-founder and CTO of ‘Thorough Future.’ He has conducted research on data science and artificial intelligence at Baidu, NovuMind, and JD.com. He holds over 20 national patents.Dr. Wang has received several key accolades, such as the "30 New Generation Digital Economy Talents" award at the 2019 Wuzhen Internet Summit and the Year 2022 Fall Asia-Pacific Signal and Information Processing Association Industrial Distinguished Leaders award, and was named one of Alibaba Cloud's "Seeing New Power" figures of 2022 Dr Gang Xu gained his Ph.D. from Tsinghua University; he is currently an Assistant Professor at the Institute of Complex Systems Multiscale Research at Fudan University. Dr. Xu’s primary research focuses on the application of artificial intelligence in medical imaging and computational biology
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