r/NeuralJokes

772 archived posts · Mar 2016 – May 2016

RNN generated jokes

r/NeuralJokes

Posts with random RNN generated jokes! Please understand and enjoy the non-sense fun! [I](www.reddit.com/user/Chuckytah/) have [trained a RNN](https://github.com/karpathy/char-rnn) with about 5000 [jokes](http://www.joke-db.com/c/all/clean) and generated some samples jokes and neural_bot will post them here.

Created Mar 17, 2016 · restricted

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772Archived posts

Posts with random RNN generated jokes! Follow on Twitter. Please understand and enjoy the non-sense fun! WIP: I have trained a RNN with about 5000 jokes and generated some samples jokes. u/neural_bot will post them here.

What are RNNs? The idea behind RNNs is to make use of sequential information. In a traditional neural network we assume that all inputs (and outputs) are independent of each other. But for many tasks that’s a very bad idea. If you want to predict the next word in a sentence you better know which words came before it. RNNs are called recurrent because they perform the same task for every element of a sequence, with the output being depended on the previous computations. Another way to think about RNNs is that they have a “memory” which captures information about what has been calculated so far. In theory RNNs can make use of information in arbitrarily long sequences, but in practice they are limited to looking back only a few steps ref..

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