Train Your Classifier

This project provides a simple and effective way to train a machine learning model for image classification using Python and TensorFlow. The goal is to build a model that can automatically classify images into various categories, such as animals, objects, or custom classes.

With the rise of machine learning and deep learning techniques, image classification has become a powerful tool in a variety of fields, including healthcare, security, and entertainment. This project allows you to harness that power by training your own classification model.

Explore on GitHub

Bird Classification

Bird

Reptile Classification

Reptiles

Monkey Classification

Monkey

Project Overview

By following this guide, you will:

  • Set up the development environment, including Jupyter Notebook, to easily experiment and visualize data.
  • Prepare a dataset for training, organized by categories (e.g., cats, dogs, birds).
  • Train a TensorFlow model to classify images using deep learning.
  • Optionally enhance your model's performance using transfer learning with pre-trained models.
  • Save the trained model and integrate it into your projects, allowing automated image recognition.

This project provides an easy way to train a machine learning model for image classification using Python and TensorFlow.

Author

Miguel Angelo do Amaral Junior