K-fold cross validation when using fit_generator and flow_from_directory() in Keras
$begingroup$
I am using flow_from_directory() and fit_generator in my deep learning model, and I want to use cross validation method to train the CNN model.
datagen = ImageDataGenerator(rotation_range=15,width_shift_range=0.2,
height_shift_range=0.2,shear_range=0.2,
zoom_range=0.2,horizontal_flip=True,
fill_mode='nearest')
image_size = (224, 224)
batch = 32
train_generator = datagen.flow_from_directory(train_data,
target_size=image_size,
batch_size=batch,
classes= classes_array)
I found this Youtube video and this Tutorial, But it is not use flow_from_directory().
Do you have any idea how do I use k-fold cross validation when using fit_generator and flow_from_directory() in Keras?
python deep-learning keras tensorflow cross-validation
edited Aug 16 '18 at 16:14
user140323
5231520
asked Aug 16 '18 at 8:59
NoranNoran
31510
$endgroup$
add a comment |
$begingroup$
I am using flow_from_directory() and fit_generator in my deep learning model, and I want to use cross validation method to train the CNN model.
datagen = ImageDataGenerator(rotation_range=15,width_shift_range=0.2,
height_shift_range=0.2,shear_range=0.2,
zoom_range=0.2,horizontal_flip=True,
fill_mode='nearest')
image_size = (224, 224)
batch = 32
train_generator = datagen.flow_from_directory(train_data,
target_size=image_size,
batch_size=batch,
classes= classes_array)
I found this Youtube video and this Tutorial, But it is not use flow_from_directory().
Do you have any idea how do I use k-fold cross validation when using fit_generator and flow_from_directory() in Keras?
python deep-learning keras tensorflow cross-validation
edited Aug 16 '18 at 16:14
user140323
5231520
asked Aug 16 '18 at 8:59
NoranNoran
31510
$endgroup$
$begingroup$
Any progress with this issue? I faced with this problem. It seems that it obvious approach if you want use KFold for huge dataset.
$endgroup$
– Oktay
yesterday
add a comment |
$begingroup$
I am using flow_from_directory() and fit_generator in my deep learning model, and I want to use cross validation method to train the CNN model.
datagen = ImageDataGenerator(rotation_range=15,width_shift_range=0.2,
height_shift_range=0.2,shear_range=0.2,
zoom_range=0.2,horizontal_flip=True,
fill_mode='nearest')
image_size = (224, 224)
batch = 32
train_generator = datagen.flow_from_directory(train_data,
target_size=image_size,
batch_size=batch,
classes= classes_array)
I found this Youtube video and this Tutorial, But it is not use flow_from_directory().
Do you have any idea how do I use k-fold cross validation when using fit_generator and flow_from_directory() in Keras?
python deep-learning keras tensorflow cross-validation
edited Aug 16 '18 at 16:14
user140323
5231520
asked Aug 16 '18 at 8:59
NoranNoran
31510
$endgroup$
I am using flow_from_directory() and fit_generator in my deep learning model, and I want to use cross validation method to train the CNN model.
datagen = ImageDataGenerator(rotation_range=15,width_shift_range=0.2,
height_shift_range=0.2,shear_range=0.2,
zoom_range=0.2,horizontal_flip=True,
fill_mode='nearest')
image_size = (224, 224)
batch = 32
train_generator = datagen.flow_from_directory(train_data,
target_size=image_size,
batch_size=batch,
classes= classes_array)
I found this Youtube video and this Tutorial, But it is not use flow_from_directory().
Do you have any idea how do I use k-fold cross validation when using fit_generator and flow_from_directory() in Keras?
python deep-learning keras tensorflow cross-validation
python deep-learning keras tensorflow cross-validation
edited Aug 16 '18 at 16:14
user140323
5231520
asked Aug 16 '18 at 8:59
NoranNoran
31510
edited Aug 16 '18 at 16:14
user140323
5231520
asked Aug 16 '18 at 8:59
NoranNoran
31510
edited Aug 16 '18 at 16:14
user140323
5231520
edited Aug 16 '18 at 16:14
user140323
5231520
edited Aug 16 '18 at 16:14
user140323
5231520
5231520
asked Aug 16 '18 at 8:59
NoranNoran
31510
asked Aug 16 '18 at 8:59
NoranNoran
31510
asked Aug 16 '18 at 8:59
NoranNoran
31510
31510
$begingroup$
Any progress with this issue? I faced with this problem. It seems that it obvious approach if you want use KFold for huge dataset.
$endgroup$
– Oktay
yesterday
add a comment |
$begingroup$
Any progress with this issue? I faced with this problem. It seems that it obvious approach if you want use KFold for huge dataset.
$endgroup$
– Oktay
yesterday
$begingroup$
Any progress with this issue? I faced with this problem. It seems that it obvious approach if you want use KFold for huge dataset.
$endgroup$
– Oktay
yesterday
$begingroup$
Any progress with this issue? I faced with this problem. It seems that it obvious approach if you want use KFold for huge dataset.
$endgroup$
– Oktay
yesterday
add a comment |
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$begingroup$
Any progress with this issue? I faced with this problem. It seems that it obvious approach if you want use KFold for huge dataset.
$endgroup$
– Oktay
yesterday