| --- |
| license: mit |
| library_name: keras |
| datasets: |
| - ylecun/mnist |
| - uoft-cs/cifar10 |
| tags: |
| - adversarial-ml |
| - security |
| - adversarial-robustness |
| - adaptive-ai-codex |
| --- |
| |
| # The Applied AI Universe Coding Guide |
|
|
| Trained models and figures from Book 1 - the clean baselines that Books 2 and 3 attack and defend. Includes scikit-learn classifiers (.skops), Keras networks (.keras, loadable standalone), quantum circuit parameters (.npz), symbolic state (.json), and every figure the book generates. |
|
|
| ## The Adaptive AI Codex Series |
|
|
| Book 1 by Eric Yocam, PhD, DBA. |
|
|
| | | Title | Links | |
| |---|---|---| |
| | 1 | The Applied AI Universe Coding Guide | [Amazon](https://www.amazon.com/dp/B0H3J4V7FS) 路 [Site](https://ericyocam.com/book1.html) 路 [GitHub](https://github.com/ericyoc/the_applied_ai_universe_coding_guide) | |
| | 2 | ...: Adversarial Attacks | [Amazon](https://www.amazon.com/dp/B0H9XH9B9J) 路 [Site](https://ericyocam.com/book2.html) 路 [GitHub](https://github.com/ericyoc/the_applied_ai_universe_adversarial_attacks) | |
| | 3 | ...: Adversarial Defenses | Coming 2026 路 [Site](https://ericyocam.com/book3.html) 路 [GitHub](https://github.com/ericyoc/the_applied_ai_universe_adversarial_defenses) | |
|
|
| Series overview: https://ericyocam.com/applied-ai-universe-coding-guide.html |
|
|
