User Tools

Site Tools


auto2d_tutorial

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
auto2d_tutorial [2019/12/10 08:59]
twagner
auto2d_tutorial [2019/12/10 09:00]
twagner
Line 21: Line 21:
 ==== Training ==== ==== Training ====
 If you would like to train Cinderella with your own classes, you can easily do it. If you would like to train Cinderella with your own classes, you can easily do it.
-First you have to separate your good and bad classes into separate files. Create two folders, on containing good classes (e.g ''GOOD_CLASSES/'') and one contain bad classes (e.g ''BAD_CLASSES/''). Both folders can contain multiple .hdf / .mrcs files.+First you have to separate your good and bad classes into separate files. Create two folders, one containing good classes (e.g ''GOOD_CLASSES/'') and one contain bad classes (e.g ''BAD_CLASSES/''). Both folders can contain multiple .hdf / .mrcs files.
  
 Then specify the paths into a config file like this: Then specify the paths into a config file like this:
Line 52: Line 52:
   * **learning_rate**: Learning rate, should not be changed.   * **learning_rate**: Learning rate, should not be changed.
   * **nb_epoch**: Maximum number of epochs to train. However, it will stop earlier (see nb_early_stop).   * **nb_epoch**: Maximum number of epochs to train. However, it will stop earlier (see nb_early_stop).
-  * **nb_early_stop**: If the validation loss did not improve "nb_early_stop"in a row, the training will stop automatically.+  * **nb_early_stop**: If the validation loss did not improve "nb_early_stop" times in a row, the training will stop automatically.
  
 The next step is to run the training: The next step is to run the training:
auto2d_tutorial.txt ยท Last modified: 2020/08/28 07:36 by twagner