book

Artificial Intelligence Programming with Python

by Perry Xiao

March 2022

Intermediate to advanced

720 pages

15h 47m

English

Wiley

Read now

Unlock full access

Why Buy This BookHow This Book Is OrganizedExample CodeWho This Book Is ForWhat This Book Is Not ForWhat You Need
1.1 What Is AI?1.2 The History of AI1.3 AI Hypes and AI Winters1.4 The Types of AI1.5 Edge AI and Cloud AI1.6 Key Moments of AI1.7 The State of AI1.8 AI Resources1.9 Summary1.10 Chapter Review Questions
2.1 AI Hardware Tools2.2 AI Software Tools2.3 Introduction to Python2.4 Python Development Environments2.4 Getting Started with Python2.5 AI Datasets2.6 Python AI Frameworks2.7 Summary2.8 Chapter Review Questions
3.1 Introduction3.2 Supervised Learning: Classifications3.3 Supervised Learning: Regressions3.4 Unsupervised Learning3.5 Semi-supervised Learning3.6 Reinforcement Learning3.7 Ensemble Learning3.8 AutoML3.9 PyCaret3.10 LazyPredict3.11 Summary3.12 Chapter Review Questions
4.1 Introduction4.2 Artificial Neural Networks4.3 Convolutional Neural Networks4.4 Recurrent Neural Networks4.5 Transformers4.6 Graph Neural Networks4.7 Bayesian Neural Networks4.8 Meta Learning4.9 Summary4.10 Chapter Review Questions

5.1 Introduction5.2 Classification with Pre-trained Models5.3 Classification with Custom Trained Models: Transfer Learning5.4 Cancer/Disease Detection5.5 Federated Learning for Image Classification5.6 Web-Based Image Classification5.7 Image Processing5.8 Summary5.9 Chapter Review Questions
6.1 Introduction6.2 Face Detection and Face Landmarks6.3 Face Recognition6.4 Age, Gender, and Emotion Detection6.5 Face Swap6.6 Face Detection Web Apps6.7 How to Defeat Face Recognition6.8 Summary6.9 Chapter Review Questions
7.1 Introduction7.2 Object Detections with Pretrained Models7.3 Object Detections with Custom Trained Models7.4 Object Tracking7.5 Image Segmentation7.6 Background Removal7.7 Depth Estimation7.8 Augmented Reality7.9 Summary7.10 Chapter Review Questions
8.1 Introduction8.2 Hand Gesture Detection8.3 Sign Language Detection8.4 Body Pose Detection8.5 Human Activity Recognition8.6 Summary8.7 Chapter Review Questions
9.1 Introduction9.2 Generative Adversarial Network9.3 Neural-Style Transfer9.4 Adversarial Machine Learning9.5 Music Generation9.6 Summary9.7 Chapter Review Questions
10.1 Introduction10.2 Text Summarization10.3 Text Sentiment Analysis10.4 Text/Poem Generation10.5 Text to Speech and Speech to Text10.6 Machine Translation10.7 Optical Character Recognition10.8 QR Code10.9 PDF and DOCX Files10.10 Chatbots and Question Answering10.11 Summary10.12 Chapter Review Questions
11.1 Introduction11.2 Regression11.3 Time-Series Analysis11.4 Predictive Maintenance Analysis11.5 Anomaly Detection and Fraud Detection11.6 COVID-19 Data Visualization and Analysis11.7 KerasClassifier and KerasRegressor11.8 SQL and NoSQL Databases11.9 Immutable Database11.10 Summary11.11 Chapter Review Questions
12.1 Introduction12.2 AI with Graphics Processing Unit12.3 AI with Tensor Processing Unit12.4 AI with Intelligence Processing Unit12.5 AI with Cloud Computing12.6 Web-Based AI12.7 Packaging the Code12.8 AI with Edge Computing12.9 Create a Mobile AI App12.10 Quantum AI12.11 Summary12.12 Chapter Review Questions

Content preview from Artificial Intelligence Programming with Python

Acknowledgments

I would like to express my sincere gratitude to Wiley Publishing for giving me this opportunity. I would also like to thank Devon Lewis, Liz Britten, Pete Gaughan, Dr. Weiheng Liao, and Hongmei He for their support. Without them, this book would not have been possible.