Body: <p>I am thinking about developing a GAN. </p>
  
  <p>What is the difference between using dense layers as opposed to convolutional layers in my networks when dealing with images?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-04-03T01:16:37.193Z
Comments.Text: In general, conv layers are able to learn spatial relationships more efficiently and to a better degree. The specifics are more complicated.
Comments.UserDisplayName: Recessive
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-04-07T01:28:31.720Z
Comments.Text: Hi and welcome to AI SE! This question is indeed a bit unclear. You mention the GAN, but why is it relevant? Are you interested in 1. the structural differences between dense layers and convolutional layers, 2. the functional difference or, 3. both the structural and functional differences? Also, are you interested in some particular context? Again, why do you mention the GAN? What is your goal and why do you want to know the "difference" between the two?
Comments.UserDisplayName: nbro
Tags: <neural-networks><convolutional-neural-networks><comparison><generative-adversarial-networks>
Title: What is the difference between using dense layers as opposed to convolutional layers in my networks when dealing with images?
UserDisplayName: AJ2796
ThreadText: # What is the difference between using dense layers as opposed to convolutional layers in my networks when dealing with images?
  
  (Asked by: username_0 on 2020-04-03)
  
  I am thinking about developing a GAN.
  
  What is the difference between using dense layers as opposed to convolutional layers in my networks when dealing with images?
  
  **Tags:** neural-networks, convolutional-neural-networks, comparison, generative-adversarial-networks
  > **Comments:**
  > **username_1**: In general, conv layers are able to learn spatial relationships more efficiently and to a better degree. The specifics are more complicated.  
  > **username_2**: Hi and welcome to AI SE! This question is indeed a bit unclear. You mention the GAN, but why is it relevant? Are you interested in 1. the structural differences between dense layers and convolutional layers, 2. the functional difference or, 3. both the structural and functional differences? Also, are you interested in some particular context? Again, why do you mention the GAN? What is your goal and why do you want to know the "difference" between the two?  
  
  ---
  
  ## 0 answers
  
  