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Issues list

chapter5中使用lstm进行时序预测的demo的plot函数是否存在问题
#45 opened Jan 17, 2023 by caixd-220529
1
权重衰减可以通过 torch.optim.lr_scheduler 的相关类完成，从而使权重衰减和训练逻辑分离
#44 opened Jun 19, 2022 by xiaoyuan0203
关于cat vs dog中的维度问题
#43 opened May 13, 2022 by IIIgnac
chapter6_GAN/autoencoder.ipynb error
#42 opened May 19, 2021 by mychen233
第三章逻辑斯蒂回归的代码问题
#41 opened Feb 23, 2021 by mengwei-wang
老师您好，关于chapter5_RNN/time-series里面时间序列预测代码的问题
#40 opened Feb 29, 2020 by wmathor
1
the version of pytorch?
#38 opened Aug 10, 2019 by LiuAlex1109
1
Chapter_3_logisticRegression_'plot_y = (-w0 * plot_x - b0) / w1'
#36 opened Jul 6, 2019 by cuijia1247
Chapter_3_LogisticRegression_block15
#35 opened Jul 4, 2019 by bgbofficial
1
第4章92页，AlexNet实现，第一层卷积的out_channels=64是为什么？
#34 opened Jun 10, 2019 by Andrewsunning
chapter9部分中语义分割代码里mxtorch下载以后导入不了meter？
#33 opened Apr 16, 2019 by Qirui-Y
3
第五章 rnn用于时间序列的分析
#32 opened Mar 13, 2019 by WenbinSun
2
您好老师，第十章的seq2seq-translation代码时不是没有分训练集和测试集呢 谢谢
#31 opened Mar 8, 2019 by JunmeiHao
关于多项式回归的代码
#29 opened Feb 25, 2019 by qcyay
Ch5 RNN LSTM 中心化错误
#28 opened Feb 18, 2019 by skychan
老师您好，请问训练好那个MNIST手写数字分类后，怎么样去用自己的图片去测试
#26 opened Oct 26, 2018 by mingweiY
没有提供示例的数据
#25 opened Sep 11, 2018 by GH1995
2
P.72 data_tf lose reshape? 书72页是否缺失一维化转换
#18 opened Jul 14, 2018 by Iamyang
1
Error multiplying in logistic-regression section
#16 opened Jul 9, 2018 by Hierom
关于深度学习第七章源码
#13 opened May 1, 2018 by jingdonglin
1
麻烦写一下kaggle cat dog的注释以及代码的运行顺序，谢谢了
#11 opened Mar 6, 2018 by gittigxuy
7
本书的第二版大概什么时候出？
#9 opened Mar 2, 2018 by ofooo
13
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