Cats-VS-Dogs
所属分类：人工智能/神经网络/深度学习
开发工具：Jupyter Notebook
文件大小：1118KB
下载次数：0
上传日期：2020-07-27 02:55:26
上 传 者：
sh-1993
说明： 这是我的第一个很好的机器学习模型，这个模型在猫和狗之间的分类准确率为97.85%。...
(This is my first nice machine learning model, This model gave a 97.85% accuracy in classifying between Cats and Dogs. I made it using a pre-trained base model MobileNet V2 , and after that i added a global average pooling and then a dense layer for categorization between two classes ( cats and dogs) , i used only one dense neuron in last layer)
文件列表:
(catsVSDogs)pretrained_model_egs.ipynb (1591739, 2020-07-27)
# Cats-VS-Dogs
This is my first nice machine learning model, This model gave a 97.85% accuracy in classifying between Cats and Dogs. I made it using a pre-trained base model MobileNet V2 , and after that i added a global average pooling and then a dense layer for categorization between two classes ( cats and dogs) , i used only one dense neuron in last layer even when i had to classify 2 classes because , as we know that in test data there will only be two type of images cats and dogs , so we can just classify dogs and then ones that doesn't qualify the classification are cats. It has been trained on a small dataset to show how a machine learning model can work well even on a small dataset if we use pre-trained models inn architecture.
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