Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift


Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift
By 作者:Rahul Bhalley
Publisher Finelybook 出版社 : Apress; 1st ed. edition (January 14, 2021)
Language : English
pages 页数: 304 pages
ISBN-10 : 1484263294
ISBN-13 : 9781484263297
The Book Description robot was collected from Amazon and arranged by Finelybook
Discover more insight about deep learning and how to work with Swift for TensorFlow to develop intelligent apps. TensorFlow was designed for easy adoption By 作者:iOS programmers working in Swift. This book covers the established and tested concepts and ties them to modern Swift programming and applicable use in developing for iOS.
Using illustrative examples, the book starts off By 作者:introducing you to basic machine learning concepts along with code snippets in Swift for TensorFlow.. Fundamentals of neural networks required to understand today’s deep learning research will be covered and put in the context of working in the Swift language with the goal of developing primarily for Apple’s mobile ecosystem.
Other important topics covered include computation graphs, loss functions, optimization techniques, regulazrizing nueral networks, recurrent neural networks―such as those used in Siri and Google Translate; and convolutional neural networks. You’ll also learn to reuse pre-trained neural networks and work with generative models. Finally, developing and building in security to models is addressed. Swift code will be provided throughout the book to keep the concepts grounded in application within Apple’s frameworks.
What You’ll Learn

Write machine learning code in Swift
Run neural networks in Apple environments
Apply fundamental deep learning concepts to mobile app development

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