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Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML - Brossura
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Machine learning on mobile devices is the next big thing. This book presents the implementation of 7 practical, real-world projects that will teach you how to leverage TensorFlow Lite and Core ML to perform efficient machine learning on a cross-platform mobile OS. You will get to work on image, text, and video datasets through these projects.
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Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
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Machine Learning Projects for Mobile Applications
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Machine Learning Projects for Mobile Applications (Paperback or Softback)
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Packt Publishing 10/31/2018, 2018
ISBN 10: 1788994590
ISBN 13: 9781788994590
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Paperback or Softback. Condizione: New. Machine Learning Projects for Mobile Applications 0.95. Book. Codice articolo BBS-9781788994590
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Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
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Machine Learning Projects for Mobile Applications
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Packt Publishing Limited, GB, 2018
ISBN 10: 1788994590
ISBN 13: 9781788994590
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Paperback. Condizione: New. Bring magic to your mobile apps using TensorFlow Lite and Core MLKey FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook DescriptionMachine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so.The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google's ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN.By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML.What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is forMachine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage. Codice articolo LU-9781788994590
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Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
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Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
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