ISBN-10: 1788994590

ISBN-13: 9781788994590

Bring magic in your cellular apps utilizing TensorFlow Lite and CoreML

Key Features

  • Explore ML on cellular utilizing class, analytics, and detection initiatives. useful desktop studying on picture, textual content, audio & video datasets 
  • Build apps for Android and iOS utilizing Caffe, CoreML and Tensorflow Lite

Book Description

Machine studying is likely one of the starting to be thoughts which specialize in the improvement of desktop courses that may be replaced or changed while uncovered to new information. we will be able to now utilize its major contributions in our cellular too. This publication will convey you precisely how you can do so.

This e-book starts off with explaining you the fundamentals of laptop studying on cellular and the way to get better outfitted for additional initiatives. you'll then begin with constructing an app to categorise age and gender utilizing CoreML, Caffe and Tensorflow Lite. additional, you'll discover GAN to discover your famous person fit and increase an app for touch-free motor vehicle riding adventure. you'll get the simplest key-phrase feedback utilizing NLP on cellular. additionally, you'll get to create your individual Snapchat clear out employing facial attributes and OpenCV. subsequent, to degree the overall healthiness issue, you'll teach your types to categorise foodstuff simply by clicking an image on cellular, all with assistance from deep studying. finally, you are going to construct a picture classifier on cellular, examine the functionality and research the consequences on either cellular and cloud utilizing TensorFlow with RCNN.

By the tip of this booklet, you won't purely grasp all of the recommendations of computer studying, deep studying, and their implementation but in addition discover ways to remedy difficulties and demanding situations confronted whereas construction strong apps on cellular utilizing TensorFlow and Keras.

What you'll learn

  • Demystify the desktop studying panorama on Mobile
  • Build an app to discover age and gender utilizing Caffe and CoreML
  • Find your most sensible big name fit utilizing GANs and TensorFlow Lite
  • Recognise audio and recuperate key-phrase feedback on mobile.
  • Build cross-platform software with face filters utilizing OpenCV & CNN
  • Get to understand the health and wellbeing consider nutrients utilizing deep studying on mobile

Who This publication Is For

This publication is meant to facts scientists, laptop studying specialists, deep studying and AI lovers to head one step past and grasp computer studying and deep studying implementations with the sensible tasks utilizing TensorFlow and Keras. easy wisdom of Python programming language is predicted to get the main out of the book

About the Author

Karthikeyan NG is the pinnacle of Engineering and know-how at Indian way of life & type retail model Chumbak. He has served as a software program engineer at Symantec company and had labored with 2 US-based startups as an early worker and had equipped a number of items. He has eight+ years of expertise in construction a number of scalable items utilizing internet, cellular, AI, AR and VR applied sciences. he's an aspiring Entrepreneur and expertise Evangelist. His pursuits are in exploring new applied sciences and leading edge principles to technique an issue. He has additionally bagged prizes from greater than 15 hackathons and is a TEDx speaker, speaker at expertise meetings, meetups in addition to visitor lecturer at a Bengaluru collage. while now not at paintings, he's discovered trekking.

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New PDF release: Machine Learning Projects for Mobile Applications: Build

Deliver magic on your cellular apps utilizing TensorFlow Lite and CoreMLKey FeaturesExplore ML on cellular utilizing type, analytics, and detection initiatives. sensible desktop studying on picture, textual content, audio & video datasets Build apps for Android and iOS utilizing Caffe, CoreML and Tensorflow LiteBook DescriptionMachine studying is without doubt one of the starting to be recommendations which concentrate on the improvement of desktop courses that may be replaced or changed while uncovered to new info.

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Machine Learning Projects for Mobile Applications: Build iOS, Android applications with TensorFlow, Keras & Caffe


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