Related Issues (20)
- 请教一下CNN怎么保存模型? HOT 3
- 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? HOT 2
- 第九章 将读取的单词编号转为整数报错 HOT 2
- 赞赞 HOT 1
- 第5章5.2.1,节中,我看这里计算了使用非滑动平均和滑动平均的inference。但是在计算交叉熵的时候,只用到了非滑动平均的预测值。而在评价accuracy的时候,却是用了使用滑动平均的预测值。请问这里为什么不用使用滑动平均的预测值来计算交叉熵呢?因为评价的时候就是用了使用滑动平均的预测值啊。 HOT 4
- 求解惑,在第二版的第6章的迁移学习代码(162~164)页,那个数据处理的程序有问题,在将原始的RGB图片整理成模型需要的输入数据格式npy的时候。随着运行时间的增加,处理速度越来越慢,最终造成内存不够。 跑程序一直报memeory error,请问怎么纠错?求解惑?您能发我下正确的代码吗? 我邮箱[email protected] HOT 2
- 一个没有还解决的问题 (“解决了,是路径出现问题,最后结尾加上'/’)第6章迁移学习(162-164) HOT 1
- jhh; HOT 1
- 第二版第五章mnist最佳实践样例程序代码问题
- 第六章6.5.2迁移学习代码的问题 HOT 1
- fetching sprite image。。 HOT 1
- 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)
- tensorflow多GPU
- 分布式训练
- tensorflow 2.0已出,样例程序已经无效了 HOT 1
- 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?
- LeNet-5/LeNet5_train.ipynb是否存在错写?
- 3.4.5 神经网络样例程序运行错误
- Docker无法运行 HOT 2
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