更新时间：2021-06-24 15:52:19
coverpage
Title Page
Copyright and Credits
Mobile Artificial Intelligence Projects
Dedication
About Packt
Why subscribe?
Packt.com
Contributors
About the authors
About the reviewers
Packt is searching for authors like you
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Reviews
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
Summary
Further reading
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
Creating a new Android 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
Creating an iOS app to predict house prices
Downloading and installing Xcode
Creating a new iOS project with a single screen
Implementing Deep Net Architectures to Recognize Handwritten Digits
Building 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
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 images
Alternate approach of creating custom datasets from videos
Building your model using TensorFlow
Running TensorBoard
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
