|
|
|
|
LEADER |
04451nam a22002897a 4500 |
001 |
ebook-235374903 |
008 |
190418s2019 xx ||| |||| 00| 0 eng d |
020 |
|
|
|a 9781789347043
|
020 |
|
|
|a 9781789347043
|
041 |
0 |
|
|a eng
|
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,
|c 2019.
|
300 |
|
|
|a 1 vol. (303 p.).
|
500 |
|
|
|a Numérisation de l'édition de Packt Publishing
|
500 |
|
|
|a La pagination de l'édition imprimée correspondante est de 303 p.
|
505 |
1 |
|
|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 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 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 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
|
538 |
|
|
|a Configuration requise : navigateur internet
|
700 |
1 |
|
|a Padmanabhan, Arun.
|4 aut
|
700 |
1 |
|
|a Cole, Matt R.
|4 aut
|
776 |
0 |
|
|t NG, Karthikeyan Mobile Artificial Intelligence Projects : Develop Seven Projects on Your Smartphone Using Artificial Intelligence and Deep Learning Techniques
|c Birmingham : Packt Publishing Ltd,c2019
|
856 |
4 |
|
|q HTML
|u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88867573
|z Accès à l'E-book
|
993 |
|
|
|a E-Book
|
994 |
|
|
|a BNUM
|
995 |
|
|
|a 235374903
|