Comply with the Ministry of Education's 108 Curriculum Information Technology
Providing the latest artificial intelligence exploration and practice content for 16-18 year olds

Approved by Professor Wu Junlin, Department of Information Science and Engineering, National Chung Hsing University
Approved by Professor Tsai Tsung-han, Department of Information Engineering, National Central University

◆Understandable : Full-color graphic explanations stimulate readers' interest and make learning painless.
◆ Want to know : Explain in simple terms, so that young people can fully grasp the operation process of artificial intelligence.
◆Can do it : Starting from real-life situations, design interesting AI experience implementations and analyze Python code, so that everyone can gain successful experience in creating AI.
◆ Well-made : Provide platform tools for creating AI applications, encourage young people to unleash their creativity and continue to explore the rich possibilities of artificial intelligence.

Introduction

This is a book on deep learning written for beginners. It breaks through the difficult theories and incomprehensible programming languages, introduces web tools such as Teachable Machine and Tensorflow Playground, and leads readers into the knowledge field of deep learning and neural networks in an easy-to-understand way. With detailed practical steps, you can also learn step by step how to create AI visual recognition applications such as cat and dog recognition and face recognition access control.

The authors of this book are the AI4kids team, who were invited by the Ministry of Education's National Education Administration to share AI teaching at the National High School Directors' Conference and were featured in a special article for Parenting World magazine. Team members are alumni of the AIA Taiwan Artificial Intelligence School . The team has expertise in software technology, innovative research and development, engineering management, and e-commerce marketing . Because of their passion for AI technology education, they have invested in AI lesson plan development and teaching. Their goal is to inspire children's curiosity and imagination by teaching them hands-on AI topics, and to help them use various programs or platform tools to explore and create their own AI applications.

This book contains online teaching courses, click here to try it out .

Celebrity Recommendation

Wang Yude, Principal of Taichung Municipal Houzong Senior High School, Shi Zhongzhe, Dean of Academic Affairs of National Zhushan Senior High School, Wu Junlin, Professor of Department of Information Science and Engineering, National Chung Hsing University, Li Jiayan, Professor of Department of Information Management, National Taiwan University, Hu Xiaowei, Associate Professor of School of Big Data Management, Soochow University, Xu Ruikai, Associate Professor of Department of Information Engineering, Tunghai University, Wen Yiling, Deputy CEO of AIA Taiwan Artificial Intelligence School, Liao Weiliang, Information Technology Teacher of Taichung Municipal Wenhua Senior High School, Liu Juncheng, Founder and CEO of Nene Smart Co., Ltd., Cai Wenhong, Physics Teacher of National Nanke International Experimental Senior High School, Cai Zonghan, Professor of Department of Information Engineering, National Central University, Cai Yanlong, Associate Professor of Department of Applied Mathematics, National Chengchi University, Cai Mingshun, Acting CEO of Taiwan Artificial Intelligence School, Jiang Peiwei, President of AIA Taiwan Artificial Intelligence School Alumni Association, Lai Jiazhen, Dean of Academic Affairs of Catholic Dominic Senior High School
(Arranged by last name)

About the author_ AI4kids

AI4kids was founded in June 2019. It is a team of alumni from AIA Taiwan Artificial Intelligence School. Members have expertise in software technology, innovation and research and development, engineering management, e-commerce marketing, etc. Because of their passion for AI technology education, they are committed to the development of AI lesson plans and teaching. Their teaching footprints are spread across high schools and colleges in the north, central, south, and east.
The team was invited by the Ministry of Education's National Education Administration to share the teaching and learning of artificial intelligence at the National High School Deans' Conference, and was also recommended by Parenting World magazine as an AI education team .

Table of contents

Chapter 1: Let the computer learn to recognize scissors, rock, and paper in 10 minutes
1-1 Introduction to Teachable Machine
1-2 How to import images
1-3 How to train the model
1-4 How to verify accuracy
1-5 Summary

Chapter 2: Visible Neural Networks: TensorFlow Playground
2-1 Introduction to Neural Networks
2-2 Seeing the Neural Network in Action
2-3 Hands-on training of neural networks
2-4 Summary
Free online teaching courses
Teaching Video 1_Visible Neural Network Teaching Video 2_Visible Neural Network Teaching Video 3_Visible Neural Network

Chapter 3 Why Computers Can Recognize Images
3-1 How to view on computer
3-2 Common Applications of Computer Vision
3-3 Deep Learning
3-4 Convolutional Neural Network
3-5 Summary

Chapter 4: Cat or Dog? CNN network AI recognizes in seconds
4-1 Prepare Dataset
4-2 Loading the package
4-3 Data Preprocessing
4-4 Merge cat and dog data sets
4-5 Create a CNN-like neural network model
4-6 How to test and verify accuracy
4-7 Summary
Free online teaching courses <br>Teaching video 1_Handwritten number recognition in secondsTeaching video 2_Is it a cat or a dog? CNN network AI recognition in secondsTeaching video 3_Is it a cat or a dog? CNN network AI recognition in secondsTeaching video 4_Is it a cat or a dog? CNN network AI recognition in secondsTeaching video 5_Is it a cat or a dog? CNN network AI recognition in secondsTeaching video 6_Is it a cat or a dog? CNN network AI recognition in secondsTeaching video 7_Is it a cat or a dog? CNN network AI recognition in secondsTeaching video 8_Chapter 4 course summary

Chapter 5 Extended Creation - Facial Recognition Access Control Management
5-1 Access Control System Introduction
5-2 Equipment Description
5-3 Tensorflow Lite model construction
5-4 Installing the operating system for Raspberry Pi
5-5 Using our trained model on the Raspberry Pi
5-6 Complete the facial recognition access control system
5-7 Summary

Appendix A Python Basic Syntax Query Table Appendix B Introduction to Google Colab