CNN_vs_RNN_Image_Classification:该程序使用卷积神经网络对图像进行分类

上传者: 42133329 | 上传时间: 2022-12-30 22:17:56 | 文件大小: 3.99MB | 文件类型: ZIP
CNN与RNN图像分类 该程序使用卷积神经网络和递归神经网络对来自MNIST手写数字数据集的图像进行分类。 CNN最适合计算机视觉应用,因为可以使用RNN,但并不流行。该项目的目的是证明CNN模型相对于RNN可​​能具有的优势。 设置 需要Python 3.5-3.8才能与所有必需的模块兼容 # Clone this reposititory git clone https://github.com/JohnNooney/CNN_vs_RNN_Image_Classification # Go into repository cd ../cnn_vs_rnn_image_classification # Install required modules pip install -r requirements.txt 用法 使用python app.py启动应用程序后,将出现一个窗口,您可以

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