02191nam a22003615i 4500 21994071 NUST 20240829120604.0 210414s2021 mau 000 0 eng 2021937264 9780137470358 (paperback) 9780137470297 (epub) 9780137470259 (adobe pdf) AZHAR DLC eng rda DLC pcc 006.31 EKM Ekman, Magnus, author. 123589 Learning deep learning : theory and practice of neural networks, computer vision, natural language processing, and transformers using tensorflow / Magnus Ekman. First edition. Boston : Addison-Wesley; 2022. 2108 688p text txt rdacontent unmediated n rdamedia volume nc rdacarrier "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. E-BOOKBANK.SEECSTEXTBOOK 125472 http://10.250.8.41:8080/xmlui/handle/123456789/41688 0 ibc orignew 2 epcn 20 y-gencatlg ddc BK 609728 609728 0 0 ddc 0 0 CL CL 2024-06-12 4 4 006.31 EKM CL-1553 2026-06-10 2026-05-11 2026-05-11 2024-06-12 BK 0 0 ddc 0 0 CL CL 2024-06-27 280 SCB SCB-1553 2024-06-27 2024-06-27 BK