How to pronounce“rnn”in English

image side and the rnn side to make plans using neural network architecture as a heuristic i mean all of that is just brilliant

these spatial rnns and then of course using that beautiful mess of features both on the individual

And here's what a sample RNN, which is a raw audio processing machine learning model, trained on our own back catalog gave us as a new sort of hallucination of what YACHT

transformers before it was still uh rnn's to to do uh character prediction but by the way on the compression side

figured that you don't even need RNNs, even though the titles is called "PixelRNN," I guess it's the actual architecture that became popular was WaveNet.

And so they just said throw away the RNN and that was powerful.

where each cell of the grid as a rnn recurrent neural network the other cool aspect of this is that you can then build a map

that was not scalable earlier because you were scaling up RNNs.

And the way this thing worked was it was an auto encoder and then an RNN in the middle.

what you described there the hidden state that goes inside the lstm or the rnn or something like this but then what should be contained you

But ultimately, again, this sound was sort of too recognizable as a sample RNN sound, and not recognizable as us.

Ilya Sutskever wrote the first paper that said you can just train a simple RNN model,

You take an autoencoder, you compress the picture, you use an RNN, predict the next state.

might transformers work better than grooves for autonomous driving sure might we switch sure is this some radical change no okay we use a slightly different you know we switch from rnns to grooves