Learning AI is easy Ⅱ - Hands-on deep learning - Unveiling the veil of neural networks
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
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 Is it a cat or a dog? CNN network AI identifies in seconds
4-1 Handwritten digit recognition in seconds
4-2 Obtaining the Cat and Dog Data Set
4-3 Loading the package
4-4 Loading cat and dog information
4-5 Merge cat and dog data sets
4-6 Create a CNN-like neural network model
4-7 How to test and verify accuracy
4-8 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
A-1 Basic Python concepts
Appendix B Introduction to using Google Colab
B-1 Introduction to Google Colaboratory
B-2 Notebook Configuration Settings
B-3 View the current Python version and package list