使用tensorflow 开源框架实现猫狗种类分类识别外框代码(Using tensorflow open source framework to realize cat dog classification and identification frame code)

Python编程Keras训练神经网络,识别猫狗图片(Python programming and Keras training neural network,recognition the cat or dog in the picture.)

识别率85%，kaggle上有名的猫狗大战算法，可以很方便的查看分类结果。每一个epch需要22s左右（GTX1050Ti 4G）(The recognition rate is 85%. The famous dog and dog algorithm on kaggle is very convenient for us to see the classification results. Each epch needs about 22s (GTX1050Ti 4G))

利用神经网络模型Resnet模型对猫和狗进行识别(Recognition of cats and dogs by using neural network Resnet model.)