title: Difference about DeepLearning's learning data(jpeg) and embedded system(raw)
body: <p>I study deep learning using images.
  This time, I have a question.
  I want to hear everyone's opinion.</p>
  
  <p>Generally, learning data is used for image recognition of the Website which reducing the data capacity.
  So I think jpeg images are used.
  However, the embedded system, the compress images aren't used.
  I think raw image is used.
  I think that raw image is saved in memory and processed for recognition.</p>
  
  <p>Here, when using the jpeg images on the Website for learning model, the formats of the images are different. Is there any difference in recognition? Since raw image is larger information than the jpeg image.
  Will not problems occur in recognition?</p>
  
  <p>Thank you for your answers.</p>