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There are basically two big categories of deep neural networks - the convolutional neural networks [http://cs231n.github.io/convolutional-networks/ CNN] and the recurrent neural networks [https://en.wikipedia.org/wiki/Recurrent_neural_network RNN]. The first one, CNN, is more suitable for dealing with the image based classification tasks. The second one, RNN, is in general for sequential information (i.e. language, video ...) based classification tasks. I have tired both kinds of models and , as expected , the RNN is more robust in facing different text classification tasks