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  190413s2019 enk ob 000 0 eng d

• 020

  ▼a  1789347041

• 020

  ▼a  9781789347043
  ▼q  (electronic bk.)

• 035

  ▼a  2094769
  ▼b  (N$T)

• 035

  ▼a  (OCoLC)1096524450

• 037

  ▼a  DD16437E-C920-4A42-9F14-C43DAC46DFB9
  ▼b  OverDrive, Inc.
  ▼n  http://www.overdrive.com

• 040

  ▼a  EBLCP
  ▼b  eng
  ▼e  pn
  ▼c  EBLCP
  ▼d  TEFOD
  ▼d  UKAHL
  ▼d  TEFOD
  ▼d  OCLCF
  ▼d  OCLCQ
  ▼d  N$T
  ▼d  248023

• 050

  ▼a  QA76.59

• 082

  ▼a  004.165
  ▼2  23

• 100

  ▼a  NG, Karthikeyan.

• 245

  ▼a  Mobile artificial intelligence projects:
  ▼b  develop seven projects on your smartphone using artificial intelligence and deep learning techniques /:
  ▼c  Karthikeyan NG, Arun Padmanabhan, Matt R. Cole.

• 260

  ▼a  Birmingham:
  ▼b  Packt Publishing Ltd,
  ▼c  2019.

• 300

  ▼a  1 online resource (303 pages).

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

• 337

  ▼a  computer
  ▼b  c
  ▼2  rdamedia

• 338

  ▼a  online resource
  ▼b  cr
  ▼2  rdacarrier

• 500

  ▼a  Running the training script

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  ▼a  Includes bibliographical references.

• 505

  ▼a  Intro; Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Artificial Intelligence Concepts and Fundamentals; AI versus machine learning versus deep learning; Evolution of AI; The mechanics behind ANNs; Biological neurons; Working of artificial neurons; Scenario 1; Scenario 2; Scenario 3; ANNs; Activation functions; Sigmoid function; Tanh function; ReLU function ; Cost functions; Mean squared error; Cross entropy; Gradient descent; Backpropagation -- a method for neural networks to learn; Softmax; TensorFlow Playground

• 505

  ▼a  Creating a new Android project with a single screenDesigning the layout of the screen; Adding a functionality to accept input; Adding a functionality to consume the RESTful API that serves the model; Additional notes; Creating an iOS app to predict house prices; Downloading and installing Xcode; Creating a new iOS project with a single screen; Designing the layout of the screen; Adding a functionality to accept input; Adding a functionality to consume the RESTful API that serves the model; Additional notes; Summary

• 505

  ▼a  Chapter 3: Implementing Deep Net Architectures to Recognize Handwritten DigitsBuilding a feedforward neural network to recognize handwritten digits, version one; Building a feedforward neural network to recognize handwritten digits, version two; Building a deeper neural network; Introduction to Computer Vision; Machine learning for Computer Vision; Conferences help on Computer Vision; Summary; Further reading; Chapter 4: Building a Machine Vision Mobile App to Classify Flower Species; CoreML versus TensorFlow Lite; CoreML; TensorFlow Lite; What is MobileNet?; Datasets for image classification

• 505

  ▼a  Creating your own image dataset using Google imagesAlternate approach of creating custom datasets from videos; Building your model using TensorFlow; Running TensorBoard; Summary; Chapter 5: Building an ML Model to Predict Car Damage Using TensorFlow; Transfer learning basics; Approaches to transfer learning; Building the TensorFlow model; Installing TensorFlow; Training the images; Building our own model; Retraining with our own images; Architecture; Distortions; Hyperparameters; Image dataset collection; Introduction to Beautiful Soup; Examples; Dataset preparation

• 520

  ▼a  Further reading; Chapter 2: Creating a Real-Estate Price Prediction Mobile App; Setting up the artificial intelligence environment ; Downloading and installing Anaconda; Advantages of Anaconda; Creating an Anaconda environment; Installing dependencies; Building an ANN model for prediction using Keras and TensorFlow; Serving the model as an API; Building a simple API to add two numbers; Building an API to predict the real estate price using the saved model; Creating an Android app to predict house prices; Downloading and installing Android Studio

• 520

  ▼a  Artificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more.

• 588

  ▼a  Print version record.

• 590

  ▼a  Added to collection customer.56279.3

• 650

  ▼a  Artificial intelligence.

• 650

  ▼a  Mobile computing.

• 650

  ▼a  Artificial intelligence.
  ▼2  fast
  ▼0  (OCoLC)fst00817247

• 650

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

• 655

  ▼a  Electronic books.

• 700

  ▼a  Padmanabhan, Arun.

• 700

  ▼a  Cole, Matt R.

• 776

  ▼i  Print version:
  ▼a  NG, Karthikeyan.
  ▼t  Mobile Artificial Intelligence Projects : Develop Seven Projects on Your Smartphone Using Artificial Intelligence and Deep Learning Techniques.
  ▼d  Birmingham : Packt Publishing Ltd, ©2019,
  ▼z  9781789344073

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2094769

• 938

  ▼a  Askews and Holts Library Services
  ▼b  ASKH
  ▼n  AH36147894

• 938

  ▼a  ProQuest Ebook Central
  ▼b  EBLB
  ▼n  EBL5744466

• 938

  ▼a  EBSCOhost
  ▼b  EBSC
  ▼n  2094769

• 990

  ▼a  강리원

• 991

  ▼a  eBook

• 994

  ▼a  92
  ▼b  N$T