Comments (9)
from code-of-learn-deep-learning-with-pytorch.
https://github.com/L1aoXingyu/mxtorch
from code-of-learn-deep-learning-with-pytorch.
不用谢
from code-of-learn-deep-learning-with-pytorch.
哪里下载Mxtorch,这个链接https://github.com/L1aoXingyu/mxtorch不对
from code-of-learn-deep-learning-with-pytorch.
请问去哪里下载正确的Mxtorch,谢谢
from code-of-learn-deep-learning-with-pytorch.
from code-of-learn-deep-learning-with-pytorch.
个人感觉代码写的有些乱, 一种算法,用了好几种方法,而且全部写在一个文档里,为什么不把每种方法写成一个独立完整的程序,对于初学者来说,一点都不方便学习。
from code-of-learn-deep-learning-with-pytorch.
@rainy66alley 你好,你是具体说的那个地方呢?因为我目前正在写1.0版本的书,所以希望收到你的意见,帮助我更好地写好1.0版本
from code-of-learn-deep-learning-with-pytorch.
請問一下 Mxtorch 在colab上 要怎麼引進呢?
from code-of-learn-deep-learning-with-pytorch.
Related Issues (20)
- 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
- 老师你好,什么时候出第二版? HOT 1
- Ch5 RNN LSTM 中心化错误
- 关于多项式回归的代码
- 您好老师这个第十章RNN 的代码 中是不是数据集没有分训练集和测试集呢 谢谢
- 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
- 第五章 rnn用于时间序列的分析 HOT 2
- chapter9部分中语义分割代码里mxtorch下载以后导入不了meter? HOT 3
- 第4章92页,AlexNet实现,第一层卷积的out_channels=64是为什么?
- Chapter_3_LogisticRegression_block15 HOT 1
- Chapter_3_logisticRegression_'plot_y = (-w0 * plot_x - b0) / w1'
- loss function in "logistic-regression.ipynb " HOT 2
- the version of pytorch? HOT 1
- 老师,您好,在终端运行with open('./data.txt','r') as f:,提示No such file or directory HOT 3
- 老师您好,关于chapter5_RNN/time-series里面时间序列预测代码的问题 HOT 1
- 第三章逻辑斯蒂回归的代码问题
- chapter6_GAN/autoencoder.ipynb error
- 关于cat vs dog中的维度问题
- 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
- chapter5中使用lstm进行时序预测的demo的plot函数是否存在问题 HOT 1
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