The type of model i'm using is a bidirectional LSTM recurrent network.
Instead of taking into account separately input data (in the way a CNN would analyse image per image) the recurrent network takes into account data previously processed.
In the last international machine translation competition, the winner used a recurring network.
The output layer of the recurrent neuronal network is represented by an evaluation signal which reproduces the dynamics of technical system.
The hidden states generated using said recurrent neural network are used to control the technical system on the basis of a learning and/or optimization method.
Two years ago, a long short-term memory recurrent neural network, self-styled as “Benjamin”, wrote a short science fiction film called Sunspring.
Requêtes fréquentes français :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
Requêtes fréquentes anglais :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
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