Comments (13)
我没找到,只找到这个https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/
from 100-days-of-ml-code.
有兴趣把他这几页翻译一下吗?写成ipynb
from 100-days-of-ml-code.
那我有空把他翻译一下吧,需要另外新建repo吗?还是多个文件夹直接添加上去?
from 100-days-of-ml-code.
直接放在code里行吗?命名成Day xxx.ipynb,readme里加个链接
from 100-days-of-ml-code.
没必要全文翻译过来,挑重点,对初学者重要的信息,比如pip安装,数据下载之类的
from 100-days-of-ml-code.
我安装的tf 1.10老是出错
pip install --upgrade tensorflow
后来到tf github看到tf-nightly,倒是可以
pip install tf-nightly
from 100-days-of-ml-code.
好的,我准备开始翻译了,那个安装的我都写上去好了
from 100-days-of-ml-code.
要不你看下后面的,第一页我做好了
from 100-days-of-ml-code.
那么你先上传吧,我按照第一页的模板来做好了,这样格式可以统一点
from 100-days-of-ml-code.
https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2039.ipynb
from 100-days-of-ml-code.
好,那我开始翻译Day 40的了
from 100-days-of-ml-code.
更新Day41&42中,预计今天能全部翻译完
from 100-days-of-ml-code.
已完成
from 100-days-of-ml-code.
Related Issues (20)
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- Where's the day4 code? HOT 2
- support python 3 ? HOT 2
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