3 ms·
They only need to store (and occasionally update) the kernel parameters for the trained deep neural net. Very small indeed.
by Anm 9y ago
They only need to store (and occasionally update) the kernel parameters for the trained deep neural net. Very small indeed.
- user-on1 9y agohow small, what technology is that?
- Anm 9y agoI don't do neural nets, but if I had to crudely estimate... 10,000 songs (the outputs) * 16 layers * 16 parameters per node * 4 for the bytes per float = 10MB + a DB of song/artist names. I'm probably underestimating the parameters per node, and overestimating the size of the layers closer to the input. Further, it's more likely structured as an LSTM than a convolutional network, since sound is a streaming source.