dogs & cats classification

Dataset

Part 1 Create folders and copy images

Dataset is from a kaggle competition Dogs vs. Cats
Part1_Create New folder & Copy images.py is to seperate the training data by lables. The image stracutre is like this
├─test │ └─test │ 1.jpg │ 10.jpg │ 100.jpg │ 1000.jpg │ 10000.jpg │ 10001.jpg

	│          
	├─train
	│  ├─cats
	│  │      cat.0.jpg
	│  │      cat.1.jpg
	│  │      cat.2.jpg
	│  │      cat.3.jpg
	│  │      cat.4.jpg

	│  │      
	│  └─dogs
	│          dog.0.jpg
	│          dog.1.jpg
	│          dog.2.jpg
	│          dog.3.jpg
	│          dog.4.jpg

	│          
	└─validation
		├─cats
		│      cat.10.jpg
		│      cat.11.jpg
		│      cat.12.jpg
		│      cat.13.jpg

		│      
		└─dogs
				dog.10.jpg
				dog.11.jpg
				dog.12.jpg

Structure of model

Part 2 Extract features

Using pretraining models to extract features and then flatten them and combine them together.

Part 3 Train top model and save results

Using fully connected neural network to train the model