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| -rw-r--r-- | microposts/rnn-fsm.md | 2 |
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diff --git a/microposts/rnn-fsm.md b/microposts/rnn-fsm.md index 567063d..a1e1315 100644 --- a/microposts/rnn-fsm.md +++ b/microposts/rnn-fsm.md @@ -3,7 +3,7 @@ date: 2018-05-11 --- ### Some notes on RNN, FSM / FA, TM and UTM -Related to a previous micropost. +Related to [a previous micropost](#neural-turing-machine). [The slides from Toronto](http://www.cs.toronto.edu/~rgrosse/csc321/lec9.pdf) is a nice introduction to RNN (recurrent neural network) from a computational point of view. It states that RNN can simulate any FSM (finite state machine, a.k.a. finite automata abbr. FA) with a toy example computing the parity of a binary string. |