Learning deep learning : theory and practice of neural networks, computer vision, nlp, and transformers using tensorflow / Magnus Ekman.
Material type:
TextPublication details: India: Pearson India Education services Pvt. Ltd., 2022Edition: First editionDescription: pages cmISBN: - 9789356063976
- 22 006.31 E368l
| Item type | Current library | Call number | Vol info | Copy number | Status | Barcode | |
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Library, Independent University, Bangladesh (IUB) Reference Stacks | 006.31 E368l (Browse shelf(Opens below)) | 2022 | 01 | Not For Loan | 029520 | |
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Books
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Library, Independent University, Bangladesh (IUB) Reference Stacks | 006.31 E368l (Browse shelf(Opens below)) | 2022 | 02 | Not For Loan | 029521 |
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"Deep learning is at the heart of many of today's most exciting advances in machine learning and artificial intelligence. Pioneering applications at companies like Tesla, Google, and Facebook are now being followed by massive investments in fields ranging from finance to healthcare. Now, there's a complete guide to deep learning with TensorFlow, the #1 Python library for building these breakthrough applications. Magnus Ekman illuminates both the underlying concepts and the hands-on programming techniques you'll need, even if you have no machine learning experience. Throughout, you'll find concise, well-annotated code examples using TensorFlow and the Keras API; for comparison and easy migration between frameworks, complementary examples in PyTorch are provided online. Ekman also explains enough of the mathematics to help newcomers grasp how deep learning actually works. The guide concludes by previewing emerging trends in deep learning, and exploring the challenging ethical issues surrounding its use"--
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