内含数据集，完整代码，整个实现过程的全套文档讲解，总共1.6g，由于内容过多，所以用百度云给出，地址永久有效。 欢迎有这方面需要的小伙伴下载学习！
2021-03-10 18:03:01
354B
1
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
1
由AlexNet网络改过来，输入图像128*128，亲测可用，模型也收敛了！配套了迭代600000次的caffemodel，配置文件和标签txt一应俱全，是入门kaggle的example。
2019-12-21 21:38:24
33.52MB
1
Keras Applications模块各网络对比——基于ImageNet预训练权重的猫狗大战分类
2019-12-21 20:12:05
734KB
1