资源简介
Cats vs, Dogs 的python原创代码,
ipynb格式。图片数据来源https://www.kaggle.com/c/dogs-vs-cats
任务如下:
Task:
In this competition, you'll write an algorithm to classify whether images contain either a dog or a cat. This is easy for humans, dogs, and cats. Your computer will find it a bit more difficult.
Data Description:
The training archive contains 25,000 images of dogs and cats. Train your algorithm on these files and predict the labels for test1.zip (1 = dog, 0 = cat).
Submission Format
Your submission should have a header. For each image in the test set, predict a label for its id (1 = dog, 0 = cat):
id,label
1,0
2,0
3,0
etc...
代码片段和文件信息
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
目录 0 2018-05-12 04:03 final\
目录 0 2018-05-12 03:56 final\.ipynb_checkpoints\
文件 103466 2018-05-12 03:58 final\.ipynb_checkpoints\Final Project--Kai Zhang-checkpoint.ipynb
文件 103466 2018-05-12 03:58 final\Final Project--Kai ZhangXiaochen ZhiYan Zhang.ipynb
目录 0 2018-05-12 02:38 final\log\
目录 0 2018-05-12 02:53 final\log\dogsvscats-0.001-2conv-basic.model\
文件 445500 2018-05-12 02:42 final\log\dogsvscats-0.001-2conv-basic.model\events.out.tfevents.1526063920.DESKTOP-JMVSLCT
文件 1275573 2018-05-12 03:19 final\log\dogsvscats-0.001-2conv-basic.model\events.out.tfevents.1526064791.DESKTOP-JMVSLCT
文件 101404 2018-05-12 03:57 final\submission_file.csv
文件 45970258 2018-05-12 03:30 final\test_data.npy
文件 93499465 2018-05-12 02:33 final\train_data.npy
----------- --------- ---------- ----- ----
目录 0 2018-05-12 04:03 final\
目录 0 2018-05-12 03:56 final\.ipynb_checkpoints\
文件 103466 2018-05-12 03:58 final\.ipynb_checkpoints\Final Project--Kai Zhang-checkpoint.ipynb
文件 103466 2018-05-12 03:58 final\Final Project--Kai ZhangXiaochen ZhiYan Zhang.ipynb
目录 0 2018-05-12 02:38 final\log\
目录 0 2018-05-12 02:53 final\log\dogsvscats-0.001-2conv-basic.model\
文件 445500 2018-05-12 02:42 final\log\dogsvscats-0.001-2conv-basic.model\events.out.tfevents.1526063920.DESKTOP-JMVSLCT
文件 1275573 2018-05-12 03:19 final\log\dogsvscats-0.001-2conv-basic.model\events.out.tfevents.1526064791.DESKTOP-JMVSLCT
文件 101404 2018-05-12 03:57 final\submission_file.csv
文件 45970258 2018-05-12 03:30 final\test_data.npy
文件 93499465 2018-05-12 02:33 final\train_data.npy
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