NN_MNIST 报告.pdf - 利用神经网络进行 MNIST 分� 周鑫渝 1700013222 两个程序均用 Keras 来写 ①三个全连接层,不加卷积

NN_MNIST 报告.pdf - 利用神经网络进行 MNIST 分�...

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利用神经网络进行 MNIST 分类 周鑫渝 1700013222 两个程序均用 Keras 来写 ①三个全连接层,不加卷积 结构 Flatten Dense_1 256 )→ Dense_2 (256) Dense_3 (10) 输出 两个全连接的隐藏层的 units 都是 256 ,激活函数是 relu 运行结果 epoch =10 最后的得到的 测试准确率 0.9811. 应该是网络设计的不好,这个结果不是很理想,跟上次 svm 跑出来差不多,下面 CNN 出来的结果就好多了。
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Unformatted text preview: ② CNN 网络结构如下,包含两个卷积、池化层和三个全连接层。 卷积、池化层 1 : 32 个 filter ,pool_size=2, 输出 14*14*32 卷积、池化层 2 : 64 个 filter , pool_size=2, 输出 7*7*64 全连接层 1 , 2 都是 256 个 units 运行结果 ,如下图所示 (epoch=10) 最终得到的 test_ccuracy=99.34% ,感觉还是比较不错的,但是相应的网络训练时间比较 长。...
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