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基于TensorFlow实现的手写中文数字识别项目,包含了完整的Python代码、训练好的模型以及相应的数据集资源。Recognizing handwritten Chinese numerals using TensorFlow, featuring the complete Python code, a pre-trained model, and the associated dataset.

Python 100.00%

chinese-mnist's Introduction

Chinese-MNIST

中文 | English

This project utilizes TensorFlow and Keras to build an image classification model that recognizes Chinese numerals. The repository includes Python source code, a pre-trained model, and the required dataset.

Contents Overview

  1. index.py: The main script file containing functionality for data loading, model training, prediction, and evaluation.
  2. model/*: Pre-trained model files that can be directly used for prediction and evaluation.
  3. dataset/*: Data resources
    • ./chinese_mnist.csv: CSV file containing label information corresponding to the image data.
    • ./data/data/*: Image data directory containing the actual images.

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