把经典的图片分类模型在Kaggle上跑了，结果以图片的形式附带在里面。然后通过数据增广、微调、增加注意力机制修改了最初的ResNet，我称它为ResNet_Plus，虽然效果不是很好，但权当作优化方法的练习了，也对效果变差的原因进行了一定的思考，在其ipynb文件中的最后简单做了个summary ddd
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