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tensorflow实现猫狗识别
- 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)
imageRecognises
- 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.)
pyDogVsCat
- 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))
cat_vs_dog
- 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.)
语音基频识别
- 男女生识别、文字端点检测 sgn.m是判断符号的函数 在使用GUI时输入的数字必须为英文状态下（搜狗输入法英文） 端点检测和基频计算是在GUI m文件转到GUI中，基本没什么变化，主要就是使用了全局变量。(Gender recognition and text endpoint detection SGN. M is a function of judging signs When using GUI, the input number must be in English Endpoin