本文利用Python爬虫收集了近两万张十种动物的图像，并对这些图像进行了预处理，包括调整图像大小、裁剪和规范化等操作，以提高图像质量和一致性。本文的重点是利用深度学习的卷积神经网络（CNN）构建了具有一个池化层、一个全连接层、一个Dropout层和一个softmax层的模型，并使用预处理后的数据集对模型进行训练。本文通过对数据预处理、模型构建和GUI图形用户界面三个
active 2023-10-31 → 2024-02-08 (UTC)
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| Contributor | Contributions | Pushes | PRs | Comments |
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| ByteInnoX | 2 | 2 | 0 | 0 |
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