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auto2d_tutorial [2019/07/10 13:43]
twagner [Classify]
auto2d_tutorial [2019/07/10 13:46]
twagner [Classify]
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   * **learning_rate**: Defines the step size during training. Default should be kept.   * **learning_rate**: Defines the step size during training. Default should be kept.
   * **nb_epoch**: Maximum number of epochs the network will train. It might not reach this number, as Cinderella stops training if it recognize that the validation loss is not improving anymore.   * **nb_epoch**: Maximum number of epochs the network will train. It might not reach this number, as Cinderella stops training if it recognize that the validation loss is not improving anymore.
-  * **nb_early_stop**: +  * **nb_early_stop**: If the validation loss did not improve that number in a row, it will stop training. 
-  * **train_valid_thresh**: +  * **train_valid_thresh**: Fraction of images that are used for training from each stack file. The remaining images are used for validation. 
-  * **max_valid_img_per_file**:+  * **max_valid_img_per_file**: Maximum number of validation images per stack file that should be used. -1 means that it is not used.
  
 Copy this into a new file called ''config.json''. During classification, the options in the "train" section are ignored. Copy this into a new file called ''config.json''. During classification, the options in the "train" section are ignored.
auto2d_tutorial.txt · Last modified: 2020/08/28 07:36 by twagner