Answers.Body: <p>The neural network is typically a set size once it's created. You'd have to create a network big enough for your data-set.</p>
  
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Answers.CreationDate: 2016-08-25T18:46:14.883Z
Answers.Text: I don't see how this answers the question 'What is an estimate of how many neurons it would have?'
Answers.UserDisplayName: Mithical
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Answers.CreationDate: 2016-08-25T19:00:36.093Z
Answers.Text: I think Zakk's  point was that training does not affect the size of a neural network.  You define the size when you create it.   How many times you train it, or what the size of the data set is, doesn't change the size of the network once it's defined.  Well, at least not using any technique I'm familiar with.
Answers.UserDisplayName: mindcrime
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Answers.CreationDate: 2016-08-30T03:29:10.170Z
Answers.Text: This certainly answers the question of how many neurons the net would have. It would have the same number of neurons that it started with, and that number is whatever number the operator picked.
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Answers.UserDisplayName: Zakk Diaz
Body: <p>Is there any way to estimate how big the neural network would be after training session of 100,000 unlabeled images for unsupervised learning (like in <a href="https://cs.stanford.edu/~acoates/stl10/" rel="nofollow">STL-10 dataset</a>: 96x96 pixels and color)?</p>
  
  <p>Not the storage space (because this could vary I guess based on the implementation), but specifically how many neurons it could have. It could be an estimate (e.g. in thousand, millions). If it depends, then on what? Are there any figures that can be estimated?</p>
  
Tags: <deep-neural-networks><image-recognition><deep-learning><datasets>
Title: How many neurons would a network have after a training of 100k small images?
UserDisplayName: kenorb
ThreadText: # How many neurons would a network have after a training of 100k small images?
  
  (Asked by: username_0 on 2016-08-09)
  
  Is there any way to estimate how big the neural network would be after training session of 100,000 unlabeled images for unsupervised learning (like in [STL-10 dataset](https://cs.stanford.edu/~acoates/stl10/): 96x96 pixels and color)?
  
  Not the storage space (because this could vary I guess based on the implementation), but specifically how many neurons it could have. It could be an estimate (e.g. in thousand, millions). If it depends, then on what? Are there any figures that can be estimated?
  
  **Tags:** deep-neural-networks, image-recognition, deep-learning, datasets
  
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  ## 1 answers
  
  ### Answer by username_1 on 2016-08-25. Score: 7 | Accepted answer
  
  The neural network is typically a set size once it's created. You'd have to create a network big enough for your data-set.
  
  > **Comments:**
  > **username_2**: I don't see how this answers the question 'What is an estimate of how many neurons it would have?'  
  > **username_3**: I think Zakk's  point was that training does not affect the size of a neural network.  You define the size when you create it.   How many times you train it, or what the size of the data set is, doesn't change the size of the network once it's defined.  Well, at least not using any technique I'm familiar with.  
  > **username_4**: This certainly answers the question of how many neurons the net would have. It would have the same number of neurons that it started with, and that number is whatever number the operator picked.  
  
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