This may be a dumb question but after setting up LTSM something like:
let network = new neataptic.architect.LSTM(7, 7, 1)
and I train it with a set of data, what's the effect of training it again with a new set of data? Does it preserve the current network and refine itself with the new training or does it start it over?
It depends if you train the network variable, or create a new network under different alias. If you reuse name "network" for your variable and train it again, it will adjust the existing network.
This may be a dumb question but after setting up LTSM something like:
let network = new neataptic.architect.LSTM(7, 7, 1)
and I train it with a set of data, what's the effect of training it again with a new set of data? Does it preserve the current network and refine itself with the new training or does it start it over?