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Deep Learning with Swift for TensorFlow

2021-02-05 Computers
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Release : 2021-02-05
Genre : Computers
Kind : eBook
Book Rating : 297/5 ( reviews)

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Book Synopsis Deep Learning with Swift for TensorFlow by : Rahul Bhalley

Download or read book Deep Learning with Swift for TensorFlow written by Rahul Bhalley. This book was released on 2021-02-05. Available in PDF, EPUB and Kindle. Book excerpt: 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 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 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

Convolutional Neural Networks with Swift for Tensorflow

2021
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Release : 2021
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Kind : eBook
Book Rating : 699/5 ( reviews)

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Book Synopsis Convolutional Neural Networks with Swift for Tensorflow by : Brett Koonce

Download or read book Convolutional Neural Networks with Swift for Tensorflow written by Brett Koonce. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. You will: Categorize and augment datasets Build and train large networks, including via cloud solutions Deploy complex systems to mobile devices.

Convolutional Neural Networks with Swift for Tensorflow

2021-01-05 Computers
Download Convolutional Neural Networks with Swift for Tensorflow PDF Online Free

Author :
Release : 2021-01-05
Genre : Computers
Kind : eBook
Book Rating : 675/5 ( reviews)

GET EBOOK


Book Synopsis Convolutional Neural Networks with Swift for Tensorflow by : Brett Koonce

Download or read book Convolutional Neural Networks with Swift for Tensorflow written by Brett Koonce. This book was released on 2021-01-05. Available in PDF, EPUB and Kindle. Book excerpt: Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You’ll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. What You'll Learn Categorize and augment datasets Build and train large networks, including via cloud solutions Deploy complex systems to mobile devices Who This Book Is For Developers with Swift programming experience who would like to learn convolutional neural networks by example using Swift for Tensorflow as a starting point.

Swift for TensorFlow

2020
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Author :
Release : 2020
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Swift for TensorFlow by : Paige Bailey

Download or read book Swift for TensorFlow written by Paige Bailey. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: Swift for TensorFlow is a next-generation machine learning platform that leverages innovations like first-class differentiable programming to seamlessly integrate deep neural networks with traditional AI algorithms and general purpose software development. Paige Bailey and Brennan Saeta (Google) demonstrate how Swift for TensorFlow can make advanced machine learning research easier and faster. Prerequisite knowledge Experience with ML development General knowledge of Swift (useful but not required) What you'll learn See how Swift for TensorFlow can change the way you think about ML.

Machine Learning with Swift

2018-02-28 Computers
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Release : 2018-02-28
Genre : Computers
Kind : eBook
Book Rating : 529/5 ( reviews)

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Book Synopsis Machine Learning with Swift by : Oleksandr Sosnovshchenko

Download or read book Machine Learning with Swift written by Oleksandr Sosnovshchenko. This book was released on 2018-02-28. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease Key Features Implement effective machine learning solutions for your iOS applications Use Swift and Core ML to build and deploy popular machine learning models Develop neural networks for natural language processing and computer vision Book Description Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language. We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development. By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves. What you will learn Learn rapid model prototyping with Python and Swift Deploy pre-trained models to iOS using Core ML Find hidden patterns in the data using unsupervised learning Get a deeper understanding of the clustering techniques Learn modern compact architectures of neural networks for iOS devices Train neural networks for image processing and natural language processing Who this book is for iOS developers who wish to create smarter iOS applications using the power of machine learning will find this book to be useful. This book will also benefit data science professionals who are interested in performing machine learning on mobile devices. Familiarity with Swift programming is all you need to get started with this book.

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