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We write in [https://www.tensorflow.org/ Tensorflow] for all the classifiers. [https://keras.io/ Keras] is a good wrapper over the Tensorflow framework to allow you quickly build up a neural network and train it. ( '''Suggestion:''' if you are new to Deep Learning and Tensorflow, please do stay with Keras. )
* '''Embedding'''
[https://keras.io/layers/embeddings/ Keras Official Documentation]
[https://www.tensorflow.org/tutorials/word2vec Tensorflow : Vector Representations of Words]
[https://en.wikipedia.org/wiki/Word2vec Wiki : Word2vec]
* '''LSTM'''
[http://colah.github.io/posts/2015-08-Understanding-LSTMs/ A Nice Blog about LSTM]
[https://www.tensorflow.org/tutorials/recurrent Tensorflow : Recurrent Neural Networks]
[https://keras.io/layers/recurrent/ Keras Official Documentation]
==General Guidelines for Tuning the Hyper-Parameters==
