Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1511
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dc.contributor.authorMenshawy, Ahmed-
dc.date.accessioned2026-07-28T07:04:57Z-
dc.date.available2026-07-28T07:04:57Z-
dc.date.issued2018-02-
dc.identifier.isbn978-1-78839-990-6-
dc.identifier.urihttp://hdl.handle.net/123456789/1511-
dc.description.abstractThis book will start off by introducing the foundations of machine learning, what makes learning visible, demonstrating the traditional machine learning techniques with some examples and eventually deep learning. You will then move to creating machine learning models that will eventually lead you to neural networks. You will get familiar with the basics of deep learning and explore various tools that enable deep learning in a powerful yet user-friendly manner. With a very low starting point, this book will enable a regular developer to get hands-on experience with deep learning. You will learn all the essentials needed to explore and understand what deep learning is and will perform deep learning tasks first-hand. Also, we will be using one of the most widely used deep learning frameworks. TensorFlow has big community support that is growing day by day, which makes it a good option for building your complex deep learning applications.en_US
dc.language.isoenen_US
dc.publisherPackt Publishingen_US
dc.relation.ispartofseries1260218;-
dc.subjectDeep Learning By Exampleen_US
dc.titleDeep Learning By Exampleen_US
dc.title.alternativeA hands-on guide to implementing advanced machine learning algorithms and neural networksen_US
dc.typeBooken_US
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