Comments (7)
yizt
commented on September 13, 2024
1
@msnh2012 纯numpy，估计速度很慢，所有没有没有弄很多层；不过，你提的是个好建议，周末测试一下vgg16看看，有结果，给你消息哈
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yizt
commented on September 13, 2024
1
@msnh2012 用vgg11在cifar10上测试验证了下；当然速度是很慢很慢的，batch-size为32，训练一个step大概1分钟；训练1w步后，模型在测试集上精度为0.576；详见3_1-VGG.md。
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yizt
commented on September 13, 2024
？？？
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在2020年04月14日 18:21，msnh 写道：
如上。
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msnh2012
commented on September 13, 2024
用numpy重构下一些基础网络，然后加载tensorflow pb数据，进行前向运算
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yizt
commented on September 13, 2024
@msnh2012 没有测试过，请问tensorflow pb的数据指定是mnist,cifar还是其它的？
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msnh2012
commented on September 13, 2024
都行呀，比如构建个VGG16试试，看可行不可行。
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msnh2012
commented on September 13, 2024
可能训练是不太理想，inference应该还行
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Related Issues (7)
- 1_1_2-全连接神经网络做mnist手写数字识别.md HOT 5
- Formula can't show HOT 3
- sigmoid_backward函数是不是写错了 HOT 2
- nn文件夹的layers.py中第300行函数名称有误 HOT 1
- 激活函数Tanh的反向传播 HOT 3
- 多分类损失函数 梯度那里没看懂 HOT 2
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