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Arte edited this page Dec 22, 2025 · 5 revisions

Deep Learning Protocol Wiki

Welcome to the Deep Learning Protocol Wiki! This is your comprehensive guide to understanding, using, and extending the system.

📚 Quick Navigation

Getting Started

Understanding the System

Core Features

Development

🚀 Quick Start

Build & Run (30 seconds)

# Clone & setup
git clone https://github.com/quickattach0-tech/DeepLearningProtocol.git
cd DeepLearningProtocol

# Build
dotnet build

# Run
dotnet run --project DeepLearningProtocol/DeepLearningProtocol.csproj

First Test (10 seconds)

dotnet test

Expected: All 7 tests pass ✅

📖 Documentation Map

By Role

Users (Just want to run the app)

  1. Getting Started — Setup in 5 minutes
  2. FAQ — Common questions
  3. Features — What it can do

Developers (Want to understand internals)

  1. Architecture — System design
  2. Code Structure — Class organization
  3. Testing Guide — How tests work
  4. DLP Guide — Protection mechanisms

Contributors (Want to add features)

  1. Contributing Guide — Development process
  2. Code Style Guide — Formatting rules
  3. Testing Requirements — What to test
  4. Workflow — PR process

🏗️ System Architecture (Visual)

┌─────────────────────────────────────────┐
│        Deep Learning Protocol           │
│   Multi-Layered Reasoning System        │
└──────────────────┬──────────────────────┘
                   │
        ┌──────────┴──────────┐
        │                     │
    ┌───▼────┐            ┌──▼──────┐
    │  User  │ ◄────────► │  FAQ    │
    │ Menu   │            │ Browser │
    │ System │            │         │
    └───┬────┘            └─────────┘
        │
    ┌───▼──────────────────────────────┐
    │   DeepLearningProtocol           │
    │   (Orchestrator)                 │
    │                                  │
    │  • SetAim()                      │
    │  • ProcessAtDepth()              │
    │  • PursueAim()                   │
    │  • ExecuteProtocol()             │
    └───┬──────────────────────────────┘
        │
    ┌───▼──────────────────────────────┐
    │  AbstractCore                    │
    │  (Processing Layer)              │
    │                                  │
    │  ProcessCoreReasoning()          │
    │  - Wraps in [Abstract Core]      │
    │  - Recursive depth application   │
    └───┬──────────────────────────────┘
        │
    ┌───▼──────────────────────────────┐
    │  DataLossPrevention (DLP)        │
    │  (Protection Layer)              │
    │                                  │
    │  • IsSuspiciousContent()         │
    │  • BackupState()                 │
    │  • Block risky updates           │
    └──────────────────────────────────┘

🔧 Commands Reference

Build & Test

# Build
dotnet build

# Run
dotnet run --project DeepLearningProtocol/DeepLearningProtocol.csproj

# Test (all)
dotnet test

# Test (specific)
dotnet test --filter "TestName"

# Test (with coverage)
dotnet test /p:CollectCoverage=true

VS Code

# Launch in VS Code
code .

# In VS Code:
# Ctrl+Shift+B  — Run (default task)
# F5            — Debug with breakpoints
# Ctrl+Shift+T  — Run tests

📚 Documentation Structure

DeepLearningProtocol/
├── README.md                      # Project overview
├── CONTRIBUTING.md                # Contribution guide
├── docs/
│   ├── Getting-Started.md         # Installation & first run
│   ├── Architecture.md            # System design deep dive
│   ├── Testing.md                 # Test suite guide
│   └── DLP-Guide.md               # Data Loss Prevention details
├── .github/
│   └── workflows/
│       └── dotnet.yml             # CI/CD pipeline
└── DeepLearningProtocol/
    └── Program.cs                 # All implementation (573 lines)

❓ Common Questions

Q: How do I get started?
A: Read the Getting Started Guide — covers everything in 5 minutes.

Q: How does the protocol work?
A: Check Architecture Overview for a complete walkthrough.

Q: What is DLP and how does it work?
A: See DLP Guide for comprehensive protection mechanism explanation.

Q: How do I run tests?
A: See Testing Guide or run dotnet test.

Q: How can I contribute?
A: Read Contributing Guide for the full process.

Q: Where's the main code?
A: Everything is in Program.cs (~573 lines, fully documented).

🎯 Use Cases

Use Case 1: Learn About Deep Learning

Use Case 2: Understand Data Protection

  • Read DLP Guide
  • Review detection rules
  • Test with different inputs

Use Case 3: Write a Test

Use Case 4: Add a Feature

🔗 External Links

📋 Page Index

Overview

  • Home — This page
  • README — Project overview
  • FAQ — Common questions

User Guides

Developer Guides

Reference

🤝 Contributing

Have a question? Found a bug? Want to contribute?

See Contributing Guide for complete details.

📊 Project Status

  • ✅ Build: Passing (2.1s)
  • ✅ Tests: 7/7 passing
  • ✅ Documentation: Complete
  • ✅ CI/CD: GitHub Actions configured
  • 🚀 Status: Production-ready

Last Updated: December 18, 2025
Maintained by: @quickattach0-tech

Start exploring: Getting Started Guide →

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