Developing AI Applications

Table of Contents

1. Introduction
2. Installation
3. Artificial Neural Networks
4. Decision Trees
5. Convolutional Layers and Images
6. Transfer Learning
7. Anomaly Detection
8. Text Classification
9. Cluster Analysis
10. AutoKeras
11. Visual Programming Using KNIME
12. Reinforcement Learning
13. Genetic Algorithms
14. ChatGPT and GPT-4
15. DALL-E and Successor Models
16. Outlook