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Keras는 Theano나 Tensorflow 위에서 동작하는 딥러닝 프레임워크입니다.

Tensorflow를 이용하는 것보다 더 쉽게 신경망 모델을 만들 수 있는 것 같습니다.

Keras를 처음 이용해 보기에 유용한 사이트를 찾아서 공유합니다.


Tutorial List


Fully Connected Network


- Binary Classification


http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/

http://machinelearningmastery.com/binary-classification-tutorial-with-the-keras-deep-learning-library/


- Multi-label Classification


http://machinelearningmastery.com/multi-class-classification-tutorial-keras-deep-learning-library/


- Regression


http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/


Drop Out


http://machinelearningmastery.com/dropout-regularization-deep-learning-models-keras/


Cross Validation


http://machinelearningmastery.com/evaluate-performance-deep-learning-models-keras/


Applied Deep Learning in Python Mini-Course


http://machinelearningmastery.com/applied-deep-learning-in-python-mini-course/


MNIST - MLP + CNN


http://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/


CIFAR-10 CNN


http://machinelearningmastery.com/object-recognition-convolutional-neural-networks-keras-deep-learning-library/

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