Comments (4)
很多邮件反馈运行成功,所以代码本身应该没问题。
可以参考https://github.com/yungshenglu/USTC-TK2016/tree/master
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不知道是不是版本的问题
第一个错误
File "/DeepTraffic/2.encrypted_traffic_classification/4.TrainAndTest/1d_cnn_25+3/encrypt_traffic_cnn_1d.py", line 133, in
ValueError: Cannot feed value of shape (50, 10) for Tensor u'Placeholder_1:0', which has shape '(?, 2)'第二个错误
File "DeepTraffic/2.encrypted_traffic_classification/4.TrainAndTest/1d_cnn_25+3/encrypt_traffic_cnn_1d.py", line 107, in
ValueError: Only callsoftmax_cross_entropy_with_logits
with named arguments (labels=..., logits=..., ...)第三个问题
作者为什么要把 y_conv = tf.nn.softmax(tf.matmul(h_fc1_drop, w_fc2) + b_fc2)
注释掉呢,下面还有很多y_conv的引用。
感觉回答
我也遇到了第一个问题,请问你解决了吗?
from deeptraffic.
不知道是不是版本的问题
第一个错误
File "/DeepTraffic/2.encrypted_traffic_classification/4.TrainAndTest/1d_cnn_25+3/encrypt_traffic_cnn_1d.py", line 133, in
ValueError: Cannot feed value of shape (50, 10) for Tensor u'Placeholder_1:0', which has shape '(?, 2)'第二个错误
File "DeepTraffic/2.encrypted_traffic_classification/4.TrainAndTest/1d_cnn_25+3/encrypt_traffic_cnn_1d.py", line 107, in
ValueError: Only callsoftmax_cross_entropy_with_logits
with named arguments (labels=..., logits=..., ...)第三个问题
作者为什么要把 y_conv = tf.nn.softmax(tf.matmul(h_fc1_drop, w_fc2) + b_fc2)
注释掉呢,下面还有很多y_conv的引用。
感觉回答
您好,我也遇到了第一个问题,请问您怎么解决的呀?可以教我一下吗?谢谢!
from deeptraffic.
不知道是不是版本的问题
第一个错误
File "/DeepTraffic/2.encrypted_traffic_classification/4.TrainAndTest/1d_cnn_25+3/encrypt_traffic_cnn_1d.py", line 133, in
ValueError: Cannot feed value of shape (50, 10) for Tensor u'Placeholder_1:0', which has shape '(?, 2)'
第二个错误
File "DeepTraffic/2.encrypted_traffic_classification/4.TrainAndTest/1d_cnn_25+3/encrypt_traffic_cnn_1d.py", line 107, in
ValueError: Only callsoftmax_cross_entropy_with_logits
with named arguments (labels=..., logits=..., ...)
第三个问题
作者为什么要把 y_conv = tf.nn.softmax(tf.matmul(h_fc1_drop, w_fc2) + b_fc2)
注释掉呢,下面还有很多y_conv的引用。
感觉回答您好,我也遇到了第一个问题,请问您怎么解决的呀?可以教我一下吗?谢谢!
请问解决了吗
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Related Issues (20)
- 作者您好,您的项目DeepTraffic有没有比较快的下载方法? HOT 7
- 关于MAC address and IP address的处理 HOT 4
- HAST-IDS中PreprocessedISCX2012_5class_pkl文件 HOT 4
- 请教一下关于md5的问题 HOT 1
- 关于evaluate the model模块 HOT 1
- Pickles used to train HAST-IDS HOT 2
- 没有预处理文件 请问能添加上预处理的代码部分吗 HOT 1
- 关于HAST-IDS预处理环节 HOT 1
- 处理ISCX2012数据集的时候,是否需要担心病毒问题? HOT 4
- 关于预处理的混淆问题 HOT 2
- 关于训练准确率极低的情况 HOT 5
- Only call `softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...)
- Folder Structure for Training Data in Encrypted Traffic Classification Task
- 恶意流量分类中input_data工具包的下载 HOT 3
- HAST-IDS中用到的ISCX-IDS-2012数据集问题 HOT 1
- Can crypto mining (monero) traffic be classified using this too?
- 感谢开源 HOT 1
- input_data.py 文件 HOT 3
- malware这篇的一个疑惑 HOT 3
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