Learning deep learning : theory and practice of neural networks, computer vision, natural language processing, and transformers using tensorflow / Magnus Ekman.
Material type:
TextPublisher: Boston : Addison-Wesley; 2022Edition: First editionDescription: 688pContent type: text Media type: unmediated Carrier type: volumeISBN: 9780137470358Subject(s): E-BOOKBANK.SEECSTEXTBOOKDDC classification: 006.31 Online resources: Click here to access online Summary: "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"-- Provided by publisher.
| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Central Library (CL) | Central Library (CL) | 280 SCB (Browse shelf) | Available | SCB-1553 | ||
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Central Library (CL) | Central Library (CL) | 006.31 EKM (Browse shelf) | Checked out | 06/10/2026 | CL-1553 |
"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"-- Provided by publisher.
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