GitHub - LoadingLoading/Active-Learning-with-Pre-trained-model-and-HOG-precess: This is an implementation of active learning using raw dataset, pre-trained model dataset and HOG processed dataset on image classification

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.ipynb_checkpoints		.ipynb_checkpoints
rawdata		rawdata
saved_result		saved_result
Airplane&Car_AL_Choices.ipynb		Airplane&Car_AL_Choices.ipynb
Airplane&cars_Compare_different_dataset_inOneGraph.ipynb		Airplane&cars_Compare_different_dataset_inOneGraph.ipynb
HOG-LogModel-EntropySelection-10.npy		HOG-LogModel-EntropySelection-10.npy
HOG-LogModel-MarginSamplingSelection-10.npy		HOG-LogModel-MarginSamplingSelection-10.npy
HOG-LogModel-RandomSelection-10.npy		HOG-LogModel-RandomSelection-10.npy
HOG-RfModel-EntropySelection-10.npy		HOG-RfModel-EntropySelection-10.npy
HOG-RfModel-MarginSamplingSelection-10.npy		HOG-RfModel-MarginSamplingSelection-10.npy
HOG-RfModel-RandomSelection-10.npy		HOG-RfModel-RandomSelection-10.npy
HOG-SvmModel-EntropySelection-10.npy		HOG-SvmModel-EntropySelection-10.npy
HOG-SvmModel-MarginSamplingSelection-10.npy		HOG-SvmModel-MarginSamplingSelection-10.npy
HOG-SvmModel-RandomSelection-10.npy		HOG-SvmModel-RandomSelection-10.npy
Pretrained-LogModel-EntropySelection-10.npy		Pretrained-LogModel-EntropySelection-10.npy
Pretrained-LogModel-MarginSamplingSelection-10.npy		Pretrained-LogModel-MarginSamplingSelection-10.npy
Pretrained-LogModel-RandomSelection-10.npy		Pretrained-LogModel-RandomSelection-10.npy
Pretrained-RfModel-EntropySelection-10.npy		Pretrained-RfModel-EntropySelection-10.npy
Pretrained-RfModel-MarginSamplingSelection-10.npy		Pretrained-RfModel-MarginSamplingSelection-10.npy
Pretrained-RfModel-RandomSelection-10.npy		Pretrained-RfModel-RandomSelection-10.npy
Pretrained-SvmModel-EntropySelection-10.npy		Pretrained-SvmModel-EntropySelection-10.npy
Pretrained-SvmModel-MarginSamplingSelection-10.npy		Pretrained-SvmModel-MarginSamplingSelection-10.npy
Pretrained-SvmModel-RandomSelection-10.npy		Pretrained-SvmModel-RandomSelection-10.npy
Pretrained_repeat-RfModel-MarginSamplingSelection-10.npy		Pretrained_repeat-RfModel-MarginSamplingSelection-10.npy
Pretrained_repeat-SvmModel-MarginSamplingSelection-10.npy		Pretrained_repeat-SvmModel-MarginSamplingSelection-10.npy
Raw-LogModel-EntropySelection-10.npy		Raw-LogModel-EntropySelection-10.npy
Raw-LogModel-MarginSamplingSelection-10.npy		Raw-LogModel-MarginSamplingSelection-10.npy
Raw-LogModel-RandomSelection-10.npy		Raw-LogModel-RandomSelection-10.npy
Raw-RfModel-EntropySelection-10.npy		Raw-RfModel-EntropySelection-10.npy
Raw-RfModel-MarginSamplingSelection-10.npy		Raw-RfModel-MarginSamplingSelection-10.npy
Raw-RfModel-RandomSelection-10.npy		Raw-RfModel-RandomSelection-10.npy
Raw-SvmModel-EntropySelection-10.npy		Raw-SvmModel-EntropySelection-10.npy
Raw-SvmModel-MarginSamplingSelection-10.npy		Raw-SvmModel-MarginSamplingSelection-10.npy
Raw-SvmModel-RandomSelection-10.npy		Raw-SvmModel-RandomSelection-10.npy
Readme.pdf		Readme.pdf
Wrong_predict_in_testset.ipynb		Wrong_predict_in_testset.ipynb
bottleneck_features_test.npy		bottleneck_features_test.npy
bottleneck_features_test_forexperiment.npy		bottleneck_features_test_forexperiment.npy
bottleneck_features_train.npy		bottleneck_features_train.npy
bottleneck_features_train_forexperiment.npy		bottleneck_features_train_forexperiment.npy

LoadingLoading/Active-Learning-with-Pre-trained-model-and-HOG-precess

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