皮肤癌图片分类和预测，kaggle数据集，基于pytorch,通过均衡采样，数据预处理，数据增强，densenet,adam优化器，交叉熵损失函数等技术。结果：precision0.9,recall0.85(仅训练4个周期）
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皮肤癌图片分类和预测，kaggle数据集，基于pytorch,通过均衡采样，数据预处理，数据增强，densenet,adam优化器，交叉熵损失函数等技术。结果：precision0.9,recall0.85(仅训练4个周期）
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