机器学习-卷积神经网络

上传者: m0_62977638 | 上传时间: 2023-03-02 19:48:04 | 文件大小: 208.41MB | 文件类型: RAR
cnn图像分类。通过已有的大量的花卉图片素材,编写卷积神经网络对花卉图片训练集进行训练,并且将训练后所得模型存放在指定文件夹。再编写一个简洁的python图形的用户交互界面,实现图片的选择,根据训练出来的神经网络将识别结果输出,并通过绘制的图形进行分析和评估。实验对比后发现花卉图像分类识别效果较好,测试集准确率达到了99%以上,具有较高的识别准确率和稳定性。

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