Mobile artificial intelligence projects : develop seven projects on your smartphone using artificial intelligence and deep learning techniques /

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: NG, Karthikeyan
Otros Autores: Padmanabhan, Arun, Cole, Matt R.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2019.
Temas:
Artificial intelligence.
Mobile computing.
Intelligence artificielle.
Informatique mobile.
artificial intelligence.
Portable & handheld devices: consumer/user guides.
Mobile phones: consumer/user guides.
Natural language & machine translation.
Computers > Natural Language Processing.
Computers > Hardware > Handheld Devices.
Computers > Intelligence (AI) & Semantics.
Artificial intelligence
Mobile computing
Acceso en línea:Texto completo
Descripción
Sumario: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
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.
Notas:Running the training script
Descripción Física:1 online resource (303 pages)
Bibliografía:Includes bibliographical references.
ISBN:1789347041
9781789347043

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