機械の読唇術精度が人間を遙かに上回る93.4%を達成 ～オックスフォード大やGoogleが共同開発。難聴の人向けサービスにも応用可能
RNN and LSTM - handong1587
Types of RNN 1) Plain Tanh Recurrent Nerual Networks 2) Gated Recurrent Neural Networks (GRU) 3) Long Short-Term Memory (LSTM) Tutorials The Unreasonable Effectiveness of Recurrent Neural Networks blog: http://karpathy.github.io/2015/05/21/rnn-effectiveness/ Understanding LSTM Networks blog: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ blog(zh): http://www.jianshu.com/p/9dc9f41f0b29 A
Understanding LSTM Networks -- colah's blog
Recurrent Neural Networks Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence. Traditional neural networks can’t do this, and it seems like a major shortcoming. For example, imagine you want to
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