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Mobile Deep Learning With Tensorflow Lite Ml Kit And Flutter Build Scalable Realworld Projects To Implement Endtoend Neural Networks On Android And Ios 2nd Edition Anubhav Singh

  • SKU: BELL-22771846
Mobile Deep Learning With Tensorflow Lite Ml Kit And Flutter Build Scalable Realworld Projects To Implement Endtoend Neural Networks On Android And Ios 2nd Edition Anubhav Singh
$ 31.00 $ 45.00 (-31%)

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Mobile Deep Learning With Tensorflow Lite Ml Kit And Flutter Build Scalable Realworld Projects To Implement Endtoend Neural Networks On Android And Ios 2nd Edition Anubhav Singh instant download after payment.

Publisher: Packt Publishing
File Extension: EPUB
File size: 30.63 MB
Pages: 380
Author: Anubhav Singh, Rimjhim Bhadani
ISBN: 9781789613995, 178961399X
Language: English
Year: 2020
Edition: 2
Volume: 1

Product desciption

Mobile Deep Learning With Tensorflow Lite Ml Kit And Flutter Build Scalable Realworld Projects To Implement Endtoend Neural Networks On Android And Ios 2nd Edition Anubhav Singh by Anubhav Singh, Rimjhim Bhadani 9781789613995, 178961399X instant download after payment.

Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter

Key Features

  • Work through projects covering mobile vision, style transfer, speech processing, and multimedia processing
  • Cover interesting deep learning solutions for mobile
  • Build your confidence in training models, performance tuning, memory optimization, and neural network deployment through every project

    Book Description

    Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more.

    With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS,...

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