Regarding val_acc and val_loss

[RakeshSahoo90]

Sir, How to add val_accuracy and val_loss of each epoch with the existing training loss, and training accuracy? Can u please update us about the K-fold cross validation

[SadmanSakib93]

To add the validation loss/accuracy, the following approach can be used within the stratified cross-validation code:

validation_generator = validation_datagen.flow_from_directory(
        validation_path,
        target_size=(img_rows, img_cols),
        batch_size=batch_size,
        class_mode='categorical',  # only data, no labels
        )

# fit model
history = model.fit(train_generator,
                        epochs=epoch,
                        validation_data=validation_generator)

[RakeshSahoo90]

Thank you Sir

On Fri, Dec 2, 2022 at 7:26 AM Sadman Sakib @.***> wrote:

To add the validation loss/accuracy, the following approach can be used within the stratified cross-validation code:

` validation_generator = validation_datagen.flow_from_directory( validation_path, target_size=(img_rows, img_cols), batch_size=batch_size, class_mode='categorical', # only data, no labels )

fit model

history = model.fit(train_generator, epochs=epoch, validation_data=validation_generator)`

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