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For questions about artificial networks, such as MLPs, CNNs, RNNs, LSTM, and GRU networks, their variants or any other AI system components that qualify as a neural networks in that they are, in part, inspired by biological neural networks.

0 votes
0 answers
27 views

When should you use a transformer and when LSTM, GRU and other Neural Networks?

There is a lot of information on the Internet that the transformer is better than RNN in everything, but is it true? Examples: «What if I need to translate words?» «Generate text, images?» «Play a reg …
Nikolai Vorobiev's user avatar
0 votes
1 answer
48 views

When we should use NEAT and GA?

When we should use NEAT and GA? Today the problem of “We do not know which answer is correct” was solved by Reinforcement Learning, so when using genetic algorithm is still useful, and do we have RL t …
Nikolai Vorobiev's user avatar
2 votes
1 answer
49 views

How does innovation deal with the problem of different connections in NEAT?

How does innovation deal with the problem of different connections in NEAT? An example makes it clearer: the neural network has two outputs 3 and 4, they are connected according to the scheme 10 -> 6 …
Nikolai Vorobiev's user avatar