Flower Classification

Table of Contents

1. Introduction
2. Dataset
3. Model Architecture
4. Training
5. Evaluation
6. Usage
7. Dependencies
8. Contributing
9. License

Introduction

This repository contains a flower classification model built using deep learning techniques. The goal of the model is to accurately classify different species of flowers based on input images. The model is implemented using TensorFlow.

Dataset

dataset

Author

Bryan Piguave