Mini-Project for TensorFlow-based Image Classification Project

Project Name: Image Classification with TensorFlow

Overview:

This repository contains the source code for an image classification project using the TensorFlow library. The model is trained to distinguish between two classes (in this case, "+" and "-").

Table of Contents:

1. File Structure
2. Prerequisites
3. Installation
4. KI

1. File Structure

|- train/                    # Directory for training data
|  |- +/                     # Subfolder (e.g., "+")
|  |- -/                     # Subfolder (e.g., "-")
|- test/                     # Directory for test data
|  |- +/
|  |- -/
|- new_image.png             # Example image for prediction (+)
|- image.png                 # Example image for prediction (-)
|- plusminus_ki.py           # Script for training the model and for making predictions on new data
|- README.md                 # Project Readme (this file)

2. Prerequisites

• Python (recommended: version 3.6 or higher)
• TensorFlow (installed via pip install tensorflow)
• Keras (installed via pip install keras)
• scipy (installed via pip install scipy)

3. Installation

1. Clone the repository: git clone https://github.com/FHitzenberger/Mini-KI
2. Navigate to the project directory: cd Mini-KI

4. plusminus_ki.py

The plusminus_ki.py file is a Python script within this project, designed for easy execution and testing on new images.

Feel free to customize the information based on the actual content and purpose of the plusminus_ki.py script.