Interesting. Yes, training takes way more time. In some really big projects like https://blog.openai.com/unsupervised-sentiment-neuron/ https://blog.openai.com/

Interesting. Yes, training takes way more time. In some really big projects like https://blog.openai.com/unsupervised-sentiment-neuron/ https://blog.openai.com/unsupervised-sentiment-neuron/ "We first trained a multiplicative LSTM with 4,096 units on a corpus of 82 million Amazon reviews to predict the next character in a chunk of text. Training took one month across four NVIDIA Pascal GPUs, with our model processing 12,500 characters per second." For smaller ones (and smaller datasets) a few hours of GPU is considered fast (at ~1$/h it is not much!). If you want to use it online, there is https://neptune.ml/ https://neptune.ml/ (no setup, $5 free credit for computing; full disclosure: created my colleagues). In any case, I would be excited to see it on some site with code (like SO) or formulae (math or stats). Especially as I am a big fan of StackExchange and analysis (vide http://p.migdal.pl/tagoverflow/ http://p.migdal.pl/tagoverflow/ :)).