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  ▼a  GBC050041
  ▼2  bnb

• 016

  ▼a  019760715
  ▼2  Uk

• 019

  ▼a  1150180359

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  ▼a  9781789613995
  ▼q  (e-book)

• 020

  ▼a  178961399X

• 020

  ▼z  9781789611212 (pbk.)

• 035

  ▼a  2432341
  ▼b  (N$T)

• 035

  ▼a  (OCoLC)1152206297
  ▼z  (OCoLC)1150180359

• 037

  ▼a  9781789613995
  ▼b  Packt Publishing

• 040

  ▼a  UKAHL
  ▼b  eng
  ▼c  UKAHL
  ▼d  UKMGB
  ▼d  OCLCO
  ▼d  OCLCF
  ▼d  EBLCP
  ▼d  N$T
  ▼d  248023

• 050

  ▼a  QA76.76.A65

• 082

  ▼a  006.31
  ▼2  23

• 100

  ▼a  Anubhav Singh (author), Rimjhim Bhadani (author)

• 245

  ▼a  Mobile Deep Learning Projects:
  ▼b  8 Project Guides to Help You Work Through End-to-End Neural Network Projects on Cross-Platform Apps.:
  ▼c  Anubhav Singh (author), Rimjhim Bhadani (author).

• 250

  ▼a  1st edition.

• 260

  ▼b  Packt Publishing,
  ▼c  2020.

• 300

  ▼a  1 online resource.

• 336

  ▼a  text
  ▼2  rdacontent

• 337

  ▼a  computer
  ▼2  rdamedia

• 338

  ▼a  online resource
  ▼2  rdacarrier

• 505

  ▼a  Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 01: Introduction to Deep Learning for Mobile -- Growth of AI-powered mobile devices -- Changes in hardware to support AI -- Why do mobile devices need to have AI chips? -- Improved user experience with AI on mobile devices -- Personalization -- Virtual assistants -- Facial recognition -- AI-powered cameras -- Predictive text -- Most popular mobile applications that use AI -- Netflix -- Seeing AI -- Allo -- English Language Speech Assistant -- Socratic

• 505

  ▼a  Understanding machine learning and deep learning -- Understanding machine learning -- Understanding deep learning -- The input layer -- The hidden layers -- The output layer -- The activation function -- Introducing some common deep learning architectures -- Convolutional neural networks -- Generative adversarial networks -- Recurrent neural networks -- Long short-term memory -- Introducing reinforcement learning and NLP -- Reinforcement learning -- NLP -- Methods of integrating AI on Android and iOS -- Firebase ML Kit -- Core ML -- Caffe2 -- TensorFlow -- Summary

• 505

  ▼a  Chapter 02: Mobile Vision -- Face Detection Using On-Device Models -- Technical requirements -- Introduction to image processing -- Understanding images -- Manipulating images -- Rotation -- Grayscale conversion -- Developing a face detection application using Flutter -- Adding the pub dependencies -- Building the application -- Creating the first screen -- Building the row title -- Building the row with button widgets -- Creating the whole user interface -- Creating the second screen -- Getting the image file -- Analyzing the image to detect faces -- Marking the detected faces

• 505

  ▼a  Displaying the final image on the screen -- Creating the final MaterialApp -- Summary -- Chapter 03: Chatbot Using Actions on Google -- Technical requirements -- Understanding the tools available for creating chatbots -- Wit.ai -- Dialogflow -- How does Dialogflow work? -- Creating a Dialogflow account -- Creating a Dialogflow agent -- Understanding the Dialogflow Console -- Creating an Intent and grabbing entities -- Creating your first action on Google -- Why would you want to build an action on Google? -- Creating Actions on a Google project -- Creating an integration to the Google Assistant

• 505

  ▼a  Implementing a Webhook -- Deploying a webhook to Cloud Functions for Firebase -- Creating an Action on Google release -- Creating the UI for the conversational application -- Creating the Text Controller -- Creating ChatMessage -- Integrating the Dialogflow agent -- Adding audio interactions with the assistant -- Adding the plugin -- Adding SpeechRecognition -- Adding the mic button -- Summary -- Chapter 04: Recognizing Plant Species -- Technical requirements -- Introducing image classification -- Understanding the project architecture -- Introducing the Cloud Vision API

• 520

  ▼a  Deep learning is rapidly becoming the most popular topic in the 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 AI assistant, augmented reality, and more.

• 590

  ▼a  OCLC control number change

• 650

  ▼a  Machine learning.

• 650

  ▼a  Mobile computing.

• 650

  ▼a  Machine learning
  ▼2  fast
  ▼0  (OCoLC)fst01004795

• 650

  ▼a  Mobile computing
  ▼2  fast
  ▼0  (OCoLC)fst01024221

• 655

  ▼a  Electronic books.

• 655

  ▼a  Electronic books.

• 776

  ▼i  Print version :,
  ▼z  9781789611212

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2432341

• 938

  ▼a  Askews and Holts Library Services
  ▼b  ASKH
  ▼n  AH37330066

• 938

  ▼a  ProQuest Ebook Central
  ▼b  EBLB
  ▼n  EBL6166922

• 938

  ▼a  EBSCOhost
  ▼b  EBSC
  ▼n  2432341

• 990

  ▼a  강리원

• 991

  ▼a  eBook

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  ▼a  92
  ▼b  N$T