Deep Learning with Swift for Tensorflow: Differentiable Programming with Swift
Using illustrative examples, the book starts off by 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
Who This Book Is For
Programmers familiar with Swift and the basics of AI