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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.

1 vote
1 answer
2k views

Neural Network vs Boolean Network

I have been lately researching and working with ANNs and I found that, despite of being used widely on our machines, we are unable to implement such networks in other paradigms: at a molecular level a …
Parth Raghav's user avatar
3 votes
0 answers
505 views

What is the architecture of a Variational Recurrent Autoencoder and Convolutional RNN?

So I am trying to do pretraining on MIDI (music input) of humans using recurrent neural networks. I read the papers https://arxiv.org/pdf/1412.6581v6.pdf and http://www.hexahedria.com/2015/08/03/compo …
Parth Raghav's user avatar