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--- pipeline:window:cryolo:training [2019/09/17 11:10]
twagner created
+++ pipeline:window:cryolo:training [2019/09/17 14:42]
twagner
@@ Line 3: / Line 3: @@
 nvidia-smi
 </code>
-For this tutorial, we assume that you have either a single GPU or want to use GPU 0. In the GUI you have to fille the mandatory fields:
+For this tutorial, we assume that you have either a single GPU or want to use GPU 0. In the GUI you have to fill in the mandatory fields:
 {{ :pipeline:window:cryolo:cryolo_training.png?700 |}}
-The default number of warmup epochs is fine as long you don't want to refine an existing model. During the warmup training epochs it will not try to estimate the size of your particle, which helps crYOLO to converge.
+The default number of warmup epochs((One epoch is a complete pass through the training data)) is fine as long as you don't want to refine an existing model. During the warmup training epochs it will not try to estimate the size of your particle, which helps crYOLO to converge.
 <note tip>
@@ Line 21: / Line 21: @@
 </note>
-Now press the Start button to start the training. The final model will be written to disk as specified in //saved_weights_name// in your configuration file.
+<html>
+<div style="background-color: #cfc ; padding: 10px; border: 1px solid green;">
+<b>Now press the Start button to start the training. </b>
+</div>
+</html>
+The final model will be written to disk as specified in //saved_weights_name// in your configuration file.
 <hidden **Train crYOLO using the command line**>

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