chunholz

🌟 lime-ile-makine-ogrenmesi-modellerini-aciklamak-demo - Understand Machine Learning with Ease

📌 Overview

This project explains machine learning models using LIME. It helps you understand how the ResNet50 deep learning model makes visual classification decisions. With GPU support, it processes quickly.

🚀 Getting Started

To begin, follow these instructions to download and run the software.

✅ Step 1: System Requirements

Make sure your system meets the following requirements:

Operating System: Windows 10, macOS, or Linux
Python Version: 3.7 or higher
At least 4 GB of RAM
GPU recommended for fast processing (NVIDIA preferred)

📥 Step 2: Download the Software

Visit the Releases page to download the latest version of the application.

Download the latest release here

💻 Step 3: Install Dependencies

Before running the application, you need to install Python and the required libraries. Follow these steps:

Download and install Python from python.org.
Open your command line or terminal.
Run the following command to install the required libraries:
```
pip install -r requirements.txt
```

🎉 Step 4: Run the Application

After installing the dependencies, navigate to the directory where you downloaded the project. Use the command line to change to that directory. You can run the application by executing:

python app.py

Follow the on-screen instructions to start using the software.

🌈 Features

Model Explanation: Understand how ResNet50 categorizes images.
Visualization: See graphical representations of model decisions.
User-friendly Interface: Easy navigation for all users.
GPU Support: Fast processing for better performance.

🌐 Topics

This project covers several important topics in artificial intelligence and machine learning:

ai-explainability
computer-vision
deeplearning
explainability
image-classification
interpretability
lime
machine-learning
resnet-50
tensorflow

❓ Frequently Asked Questions

Q: What is LIME?

A: LIME stands for Local Interpretable Model-agnostic Explanations. It helps to explain the predictions made by a model.

Q: Do I need programming experience to use this software?

A: No, this software is designed for all users, including those without programming knowledge.

Q: Can I use this on my laptop?

A: Yes, as long as your laptop meets the system requirements mentioned above.

📄 License

This project is open-source and free to use under the MIT License.

🔗 Additional Resources

🔗 Download and Install

Go back to the Releases page to download the latest version of the application.

Download the latest release here