태그: mnist

설명자료

• http://colah.github.io/posts/2015-08-Understanding-LSTMs/
  • 번역자료 : http://www.whydsp.org/280 : 설명도 좋고 친절한데 더 자세한걸 원한다!
• DL4J와 RNNs (Recurrent Neural Networks)
  • PDF : DL4J와 RNNs (Recurrent Neural Networks)
• The Unreasonable Effectiveness of Recurrent Neural Networks :RNN의 성과
• Understanding LSTM Networks
• 메탈리카 드럼패턴 분석
• RNN 기본 구조와 Keras를 사용한 RNN 구현
• 초보자를 위한 RNNs과 LSTM 가이드 – Deeplearning4j_ Open-source, Distributed Deep Learning for the JVM (from https://deeplearning4j.org/kr/kr-lstm )
• http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
  • 번역자료 : http://aikorea.org/blog/rnn-tutorial-1/

예제

• http://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/
• https://github.com/sjchoi86/tensorflow-101/blob/master/notebooks/rnn_mnist_simple.ipynb
• https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0#.5mctabm4g