---
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) · [Site](https://ericyocam.com/book1.html) · [GitHub](https://github.com/ericyoc/the_applied_ai_universe_coding_guide) |
| 2 | ...: Adversarial Attacks | [Amazon](https://www.amazon.com/dp/B0H9XH9B9J) · [Site](https://ericyocam.com/book2.html) · [GitHub](https://github.com/ericyoc/the_applied_ai_universe_adversarial_attacks) |
| 3 | ...: Adversarial Defenses | Coming 2026 · [Site](https://ericyocam.com/book3.html) · [GitHub](https://github.com/ericyoc/the_applied_ai_universe_adversarial_defenses) |

Series overview: https://ericyocam.com/applied-ai-universe-coding-guide.html