1. [Lecture] Evolution: from vanilla RNN to Gru & LSTMs

    [Lecture] Evolution: from vanilla RNN to Gru & LSTMs

    Artificial intelligence for real problems. Aug 21 [Lecture] Evolution: from vanilla RNN to GRU & LSTMs RNNs evolution Recurrent neural networks are everywhere today. Giants like Google, Baidu extensively use them in production to do Machine Translation, Speech Recognition as well as a number of other tasks. Practically, almost all state of the art results in NLP related tasks are achieved by exploiting RNNs.

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
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