#Overview
The MNIST Example App is a simple machine learning application that can recognize handwritten digits. It uses a pre-trained model on the MNIST dataset, which consists of 28x28 pixel grayscale images of handwritten digits.
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#Features
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Digit Recognition: Recognize and predict digits from 0 to 9 using a pre-trained neural network model.
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User Interface: Simple and intuitive UI for easy interaction with the application.
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Real-time Prediction: Instantly predicts the digit when an image is provided to the app.
#Installation （this app includes a tkinter interface, please run this on a device with graphics)
- Clone the repository:
git clone https://github.com/Asterismu/MNIST-Simple.git
- Navigate to the cloned directory:
cd MNIST-Simple - python predict.py(no graph, change the path to your img) / python predict_v2.py(include ui interface)