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chapter5中使用lstm进行时序预测的demo的plot函数是否存在问题

Status: Open.

#45 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· caixd-220529 opened on Jan 17, 2023

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

Status: Open.

#44 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· xiaoyuan0203 opened on Jun 19, 2022

关于cat vs dog中的维度问题

Status: Open.

#43 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· zhangjinchu opened on May 13, 2022

chapter6_GAN/autoencoder.ipynb error

Status: Open.

#42 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· mychen233 opened on May 19, 2021

第三章逻辑斯蒂回归的代码问题

Status: Open.

#41 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· mengwei-wang opened on Feb 23, 2021

老师您好,关于chapter5_RNN/time-series里面时间序列预测代码的问题

Status: Open.

#40 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· wmathor opened on Feb 29, 2020

the version of pytorch?

Status: Open.

#38 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· LiuAlex1109 opened on Aug 10, 2019

Chapter_3_logisticRegression_'plot_y = (-w0 * plot_x - b0) / w1'

Status: Open.

#36 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· cuijia1247 opened on Jul 6, 2019

Chapter_3_LogisticRegression_block15

Status: Open.

#35 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· bgbofficial opened on Jul 4, 2019

第4章92页,AlexNet实现,第一层卷积的out_channels=64是为什么?

Status: Open.

#34 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· Andrewsunning opened on Jun 10, 2019

chapter9部分中语义分割代码里mxtorch下载以后导入不了meter?

Status: Open.

#33 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· Qirui-Y opened on Apr 16, 2019

第五章 rnn用于时间序列的分析

Status: Open.

#32 In L1aoXingyu/code-of-learn-deep-learning-with-pytorch;

· WenbinSun opened on Mar 13, 2019