fashion-mnist-train

上传者: 42115074 | 上传时间: 2021-06-22 09:50:04 | 文件大小: 30.39MB | 文件类型: ZIP
fashion-mnist-train 详细测试结果参考目录下的fashion_mnist.docm 三种机器学习分类器: 随机森林 KNN 朴素贝叶斯 卷积网络结构 两层卷积层,一个全连接层 数据集 fashion-mnist 机器学习工具 sk-learn 深度学习框架 pytorch(GPU) 运行代码流程 1.获取数据集 解压fashion_mnist目录下的fashion_mnist_data.zip,共4个文件,为训练集、测试集、训练集标签、测试集标签。 2.数据可视化和标签制作 运行make_data.py,可以在fashion_mnist下得到训练集和测试集的图片文件、训练集和测试集标签。 3.机器学习分类器测试 运行train_minst.py,可以测试三种不同机器学习分类器的性能。 4.深度学习卷积网络测试 运行fashion_mnist_cnn.py,可以改变超参数L

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