🚀 AI Has Come to Stay! 🤖

🧠SPIRAL_CLASSIFICATION_NEURAL_NETWORK

This project demonstrates the training evolution of a Spiral Classification Neural Network, highlighting how AI learns and improves over time. It also incorporates AI-generated prompts to explain the training process step by step.

📌 Project Highlights

✅ Neural Network Development – Built and trained a model to classify two distinct classes in a spiral dataset. ✅ AI-Driven Prompts – Generated step-by-step explanations of the training process. ✅ Visualization – Created a video showcasing the neural network’s learning evolution.

📺 Training Evolution Video

output.mp4

🔧 Technologies Used

• Python – Core programming language
• TensorFlow/Keras – Neural network development
• Matplotlib & Seaborn – Data visualization
• Jupyter Notebook – Code execution and experimentation

🚀 Getting Started

🔹 Installation

1️⃣ Clone the repository:

git clone https://github.com/your-username/your-repo.git

2️⃣ Navigate to the project folder:

cd your-repo

3️⃣ Install dependencies:

pip install -r requirements.txt

4️⃣ Run the notebook:

jupyter notebook

📌 Results

Below is an example of the decision boundary formed by the trained neural network:

🤝 Connect & Collaborate 💡 AI is transforming how we solve problems and visualize learning processes. If you're passionate about Machine Learning, Neural Networks, or AI Innovation, let’s connect and discuss!

📩 Contact me:

eugene-oppong.okyere@student.junia.com

📌 Contributions are welcome! Feel free to open a pull request or raise an issue.