Principles and Labs for Deep Learning /
Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through...
| Main Authors: | , , |
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| Format: | software, multimedia |
| Language: | eng |
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London : Academic Press,
2021
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/book/9780323901987 |
| _version_ | 1796765131852480512 |
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| author | Huang, Shih-Chia, author 651354 Le, Trung-Hieu, author 651355 ScienceDirect (Online service) 7722 |
| author_facet | Huang, Shih-Chia, author 651354 Le, Trung-Hieu, author 651355 ScienceDirect (Online service) 7722 |
| author_sort | Huang, Shih-Chia, author 651354 |
| collection | OCEAN |
| description | Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through the visualization of results. The structured methods and labs provided by Dr. Huang and Dr. Le enable readers to become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications, and TensorFlow Hub. Each chapter has one corresponding Lab with step-by-step instruction to help the reader practice and accomplish a specific learning outcome. |
| first_indexed | 2024-03-05T17:19:52Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:606434 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:19:52Z |
| publishDate | 2021 |
| publisher | London : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6064342023-10-16T07:33:52ZPrinciples and Labs for Deep Learning / Huang, Shih-Chia, author 651354 Le, Trung-Hieu, author 651355 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,©20212021engPrinciples and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through the visualization of results. The structured methods and labs provided by Dr. Huang and Dr. Le enable readers to become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications, and TensorFlow Hub. Each chapter has one corresponding Lab with step-by-step instruction to help the reader practice and accomplish a specific learning outcome.Includes bibliographical references and indexChapter 1. Introduction to TensorFlow 2 -- Chapter 2. Neural networks -- Chapter 3. Binary classification problem -- Chapter 4. Multi-category classification problem -- Chapter 5. Training neural network -- Chapter 6. Advanced TensorFlow -- Chapter 7. Advanced TensorBoard -- Chapter 8 Convolutional neural network architectures -- Chapter 9. Transfer learning -- Chapter 10. Variational auto-encoder -- Chapter 11. Generative adversarial network -- Chapter 12. Object detection.Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through the visualization of results. The structured methods and labs provided by Dr. Huang and Dr. Le enable readers to become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications, and TensorFlow Hub. Each chapter has one corresponding Lab with step-by-step instruction to help the reader practice and accomplish a specific learning outcome.Machine learningNeural networks (Computer science)https://www.sciencedirect.com/science/book/9780323901987URN:ISBN:9780323901987Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Machine learning Neural networks (Computer science) Huang, Shih-Chia, author 651354 Le, Trung-Hieu, author 651355 ScienceDirect (Online service) 7722 Principles and Labs for Deep Learning / |
| title | Principles and Labs for Deep Learning / |
| title_full | Principles and Labs for Deep Learning / |
| title_fullStr | Principles and Labs for Deep Learning / |
| title_full_unstemmed | Principles and Labs for Deep Learning / |
| title_short | Principles and Labs for Deep Learning / |
| title_sort | principles and labs for deep learning |
| topic | Machine learning Neural networks (Computer science) |
| url | https://www.sciencedirect.com/science/book/9780323901987 |
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