title: is there any impact on model accuracy of batch learning while learning with tensorflow cnn
body: <p>im dealing with big amount of image<br/>
  however, when decompressed with python pillow, python stops due to lack of memory<br/>
  so I just sliced image and trained model<br/>
  for example</p>
  <ol>
  <li>full data: 1.jpg, 2.jpg~100.jpg <br/>
  =&gt;learn 50 epoch</li>
  <li>sliced data: batch 1-&gt;1.jpg~10.jpg, batch 2-&gt;11.jpg~20.jpg.....batch 10 <br/>
  =&gt;learn 50 epoch batch 1, learn 50 epoch batch 2....</li>
  </ol>
  <p>is there any difference in accuracy of model?<br/>
  thanks</p>