Recurrent neural network #2445
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Hi, |
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Replies: 3 comments
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We've have RNNs for a while now. Are you looking for something else specifically? |
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In fact, I'm trying to adopt burn in my daily work. There are lots of artifical neural networks now (https://www.geeksforgeeks.org/types-of-neural-networks/) and I am interested in Generative Adversarial Networks (GAN), so I wonder if burn is well-established. |
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We have transformer blocks. Autoencoders, as with a lot of the other networks in the list, are just combinations of layers that we already support (e.g., convolutions) with a specific structure and loss. Spiking neural networks I am not very familiar with but I think that's an entirely different type of application which might not be suited to what we offer. |
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We have transformer blocks. Autoencoders, as with a lot of the other networks in the list, are just combinations of layers that we already support (e.g., convolutions) with a specific structure and loss.
Spiking neural networks I am not very familiar with but I think that's an entirely different type of application which might not be suited to what we offer.