Answers.Body: <p><a href="https://arxiv.org/pdf/1410.1141.pdf" rel="nofollow noreferrer">Here</a> is a paper with the mathematical definition of each term:</p>
  
  <blockquote>
    <p>Let N<sub>t,n,σ,L</sub> be all target functions that can be implemented using a
    neural network of depth t, size n, activation function σ, and when we
    restrict the input weights of each neuron to be |w|<sub>1</sub> + |b| ≤ L.</p>
  </blockquote>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-11-13T09:08:20.203Z
Answers.Text: Does "size $n$" mean that the network has $n$ input nodes?
Answers.UserDisplayName: J. Doe
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-11-13T09:13:08.057Z
Answers.Text: Check the introduction: "The depth of the network is the number of layers and the size of the network is the total number of neurons."
Answers.UserDisplayName: serali
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-11-13T08:34:51.033Z
Answers.LastActivityDate: 2019-11-13T08:34:51.033Z
Answers.UserDisplayName: serali
Body: <p>A neural network can apparently be denoted as <span class="math-container">$N_{t,n,\sigma,L}$</span>. What do these subscripts  <span class="math-container">$t, n, \sigma$</span> and <span class="math-container">$L$</span> mean? Could you link me to a paper, article or webpage with an explanation for this? </p>
  
Tags: <neural-networks><math><definitions><notation>
Title: What do the subscripts mean in $N_{t,n,\sigma,L}$?
UserDisplayName: J. Doe
ThreadText: # What do the subscripts mean in $N_{t,n,\sigma,L}$?
  
  (Asked by: username_0 on 2019-11-13)
  
  A neural network can apparently be denoted as $N\_{t,n,\sigma,L}$. What do these subscripts $t, n, \sigma$ and $L$ mean? Could you link me to a paper, article or webpage with an explanation for this?
  
  **Tags:** neural-networks, math, definitions, notation
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2019-11-13. Score: 4 | Accepted answer
  
  [Here](https://arxiv.org/pdf/1410.1141.pdf) is a paper with the mathematical definition of each term:
  
  > Let Nt,n,σ,L be all target functions that can be implemented using a
  > neural network of depth t, size n, activation function σ, and when we
  > restrict the input weights of each neuron to be |w|1 + |b| ≤ L.
  
  > **Comments:**
  > **username_0**: Does "size $n$" mean that the network has $n$ input nodes?  
  > **username_1**: Check the introduction: "The depth of the network is the number of layers and the size of the network is the total number of neurons."  
  
  ---
  
  