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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
1k views

Why fully connected neural network cannot learn to count

I am writing some educational material, and I am actually trying to find some proof for something. Consider the following case: you generate random vectors of length (let's say 20) containing only 0 a …
Umberto's user avatar
  • 313
-1 votes
2 answers
58 views

Transfer learning scenario [closed]

I have an interesting question and I need some help. Consider the following problem. Let's suppose that I am doing regression with neural networks. As input I have a set of measurements, arrays of $N$ …
Umberto's user avatar
  • 313
16 votes
3 answers
45k views

Cost function turning into nan after a certain number of iterations

I have a question and would like to hear what the community has to say. Suppose you are training a deep learning neural network. The implementation details are not relevant for my question. I know ver …
Umberto's user avatar
  • 313