Tensorflow action recognition

All operation is based KTH dataset, including Alexnet, Vgg16, LSTM, CNN-LSTM.

Data reading: allreading, batch reading, tfrecord reding, list reading, tfrecord test
Data preprocess: shuffle, resize, crop, standardization
Model save and restore to test
Tensorboard: loss, accuracy, feturemap show
Conv and fc layer feature extractor then sabved mat file
Dropout out, batch normalization, optimizer select, learning rate select
Finetune base imagenent pretrained parmaeter
Model convert to pb
Extracted feature classfiy with SVM

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
CNN-LSTM		CNN-LSTM
Cat vs Dog		Cat vs Dog
LSTM		LSTM
README.md		README.md
alexnet.py		alexnet.py
alexnet_feature_extractor.py		alexnet_feature_extractor.py
batch_normalization.py		batch_normalization.py
cnn.py		cnn.py
convert_pb.py		convert_pb.py
feature_extractor.py		feature_extractor.py
feature_extractor_save.py		feature_extractor_save.py
input_data.py		input_data.py
make_list_data.py		make_list_data.py
model.py		model.py
restore_model.py		restore_model.py
svm.py		svm.py
tensorboard_featuremap.py		tensorboard_featuremap.py
test.py		test.py
tfrecord.py		tfrecord.py
training.py		training.py
training_list.py		training_list.py
training_tfrecord.py		training_tfrecord.py
vgg16.py		vgg16.py

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