🧠 Neural Networks & AI Studies

📝 Description

This repository is dedicated to studying, experimenting, and learning about neural networks and artificial intelligence.
It serves as a personal lab for testing models, training approaches, and machine learning concepts, as part of preparation for a PIBIT (Institutional Program for Technological Initiation Scholarships) research project at the UFAL (Federal University of Alagoas).

🎯 Project Objective

• Learn the fundamentals of deep learning and neural networks.

• Experiment with different model architectures and training techniques.

• Explore data preprocessing, loss functions, and optimization algorithms.

• Build a foundation for future AI research and practical applications.

👨‍💻 Technologies Used

Technologies	Description
Python 3.x	Main programming language used for developing and training neural networks.
PyTorch	Deep learning framework used to build, train, and evaluate AI models.
NumPy	Library for numerical computing and tensor manipulation.
Matplotlib	Data visualization library for plotting training results and metrics.

📋 Prerequisites

Before getting started, make sure you have the following installed:

• Python 3.x

🔧 Installation

Clone the repository:

git clone https://github.com/<your-username>/neural-network-learning.git
cd neural-network-learning

Install dependencies:

pip install -r requirements.txt

Run an experiment:

python main.py

👥 Stay in touch

• Author - Fabrício Santos
• Website - www.fabriciosantos.dev.br
• Youtube - @DevFabricioSantos