GitHub - fraferra/deepLogo_demo: flask website running DeepLogo architecture in the backend

Next steps:

using residual networks - https://github.com/keunwoochoi/residual_block_keras/blob/master/example.py using active learning incrementing dataset contact Ryan from startup implementing crawler

Important links:

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	.ipynb_checkpoints
	__pycache__
	static
	templates
	tmp
	.DS_Store
	CNN.ipynb
	README.md
	RNN-05-0.8704.hdf5
	RNN-LOGO7-00-0.7534.hdf5
	RNN-LOGO7-01-0.7603.hdf5
	RNN-LOGO7-rmsprop-00-0.7397.hdf5
	RNN-LOGO7-rmsprop-02-0.7877.hdf5
	RNN2-02-0.5091.hdf5
	RNN2-03-0.4909.hdf5
	RNN2-05-0.4444.hdf5
	RNN2-05-0.5000.hdf5
	RNN2-07-0.4483.hdf5
	Untitled.ipynb
	app.py
	app.pyc
	backend_demo.ipynb
	deeplogo.py
	deeplogo.pyc
	download_dataset.ipynb
	rnn_part.ipynb
	spectral_clustering.ipynb
	tasks.py
	top_frames_LOGO7.txt
	top_frames_LOGO7_frames10.csv
	video_formatting_pre_rnn.ipynb
	weights-improvement-CPU-VGG16-LOGO7-02-0.8741.hdf5
	weights-improvement-VGG16-LOGO5-04-0.9940.hdf5
	weights-improvement-VGG16-LOGO6-01-0.9822.hdf5
	weights-improvement-VGG16-LOGO6-02-0.9805.hdf5
	weights-improvement-VGG16-LOGO6-07-0.9922.hdf5
	weights-improvement-VGG16-LOGO7-10-0.7855.hdf5