ALIVE-Game-NeuralNetworkSim

![Python](https://img.shields.io/badge/Python-3.11+-blue) ![License](https://img.shields.io/badge/License-MIT-lightgrey) ![CI](https://img.shields.io/badge/CI-pytest%20+%20flake8%20+%20black-purple)

Deep neural network framework with multiple architectures and training algorithms

## ✨ Key Features

- Layers

• Activation Functions

• Backpropagation

• Optimization

• Training

  🚀 Quick Start

  python -m venv .venv
  . .venv/bin/activate  # Windows: .venv\Scripts\activate
  pip install -r requirements.txt
  python main.py

  🧠 Design Notes

  This project was conceived with human-in-the-loop design in mind and tailored specifically for "ALIVE-Game-NeuralNetworkSim" in the "neural_network" domain, implemented in Python.

  📐 Architecture Sketch

  • Modular components with clear boundaries
  • Strong typing and validation where applicable
  • Observability and logging baked in
  • CI-ready with sensible defaults

  🗺️ Roadmap

  • Extend examples and tutorials
  • Add benchmarks and profiling
  • Improve documentation coverage

  🔎 Fingerprint

  Project Fingerprint: 64e9a4bebe00 • Generated: 2025-10-30T03:14:16.335418

Insights from Research

• Video: Neural Networks Explained in 5 minutes
• Video: Neural Networks Are Composed of Node Layers
• Video: Five There Are Multiple Types of Neural Networks
• Video: Recurrent Neural Networks
• Repo idea: Master programming by recreating your favorite technologies from scratch.
• Repo idea: freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer scienc
• Repo idea: 😎 Awesome lists about all kinds of interesting topics
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Inspiration Sources

• https://www.youtube.com/watch?v=jmmW0F0biz0
• https://www.youtube.com/watch?v=jmmW0F0biz0
• https://www.youtube.com/watch?v=jmmW0F0biz0
• https://www.youtube.com/watch?v=jmmW0F0biz0

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