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...
2020-01-03 11:39:35
96.84MB
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利用python处理UCI鲍鱼年龄预测数据，运用了经典回归、决策树、随机森林、SVM等十余种机器学习方法，附有数据集以及详细python代码
2020-01-03 11:26:28
160KB
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Francois Chollet-Deep Learning with Python，Francois Chollet-Deep Learning with Python
2019-12-21 22:10:15
13.27MB
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super pix图像清晰化（超级分辨率）采用python语言编写程序实现
2019-12-21 21:48:23
12.1MB
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