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Mobile artificial intelligence projects : develop seven projects on your smartphone using artificial intelligence and deep learning techniques /
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 Kera...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
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| 020 | |a 1789347041 | ||
| 020 | |a 9781789347043 |q (electronic bk.) | ||
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| 082 | 0 | 4 | |a 004.165 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a NG, Karthikeyan. | |
| 245 | 1 | 0 | |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 | ||
| 505 | 0 | |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 | |
| 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 | ||
| 505 | 8 | |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 | 8 | |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 | 8 | |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 | |
| 500 | |a Running the training script | ||
| 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. | ||
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Mobile computing. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Informatique mobile. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a Portable & handheld devices: consumer/user guides. |2 bicssc | |
| 650 | 7 | |a Mobile phones: consumer/user guides. |2 bicssc | |
| 650 | 7 | |a Natural language & machine translation. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Computers |x Natural Language Processing. |2 bisacsh | |
| 650 | 7 | |a Computers |x Hardware |x Handheld Devices. |2 bisacsh | |
| 650 | 7 | |a Computers |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Mobile computing |2 fast | |
| 700 | 1 | |a Padmanabhan, Arun. | |
| 700 | 1 | |a Cole, Matt R. | |
| 758 | |i has work: |a Mobile artificial intelligence projects (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGBMFPg3GKwxkkGWFGGrMd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |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 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5744466 |z Texto completo |
| 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 | ||
| 994 | |a 92 |b IZTAP | ||