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第五章(5.5节)最佳实践样例中的mnist_eval.py运行后输出一直是After 29001 training step(s)...是怎么回事?
#142
opened Jun 20, 2020 by
dhwgithub
第六章中 卷积层使用的过滤器是横跨整个深度,而池化层使用的过滤器只影响一个深度上的节点, 感觉反了(书籍第147页图片上方一段文字)
#137
opened Feb 16, 2019 by
gbsjc1234
第九章的seq2seq或注意力模型翻译,请问是否可提供原始未经处理的数据集?
lifecycle/rotten
Denotes an issue or PR that has aged beyond stale and will be auto-closed.
#126
opened Aug 27, 2018 by
nuass
请教一下CNN怎么保存模型?
lifecycle/rotten
Denotes an issue or PR that has aged beyond stale and will be auto-closed.
#125
opened Aug 22, 2018 by
ucasiggcas
关于手写体识别
lifecycle/rotten
Denotes an issue or PR that has aged beyond stale and will be auto-closed.
#124
opened Aug 18, 2018 by
ucasiggcas
第四章 4.2.2节自定义损失函数 示例代码运行结果和书上不一致
lifecycle/rotten
Denotes an issue or PR that has aged beyond stale and will be auto-closed.
#118
opened Jun 24, 2018 by
youlingwangzi
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