How can I augment data in Keras?
You can use the ImageDataGenerator class in Keras to perform data augmentation. It allows you to apply transformations like rotation, zoom, and flip.
Can you give me an example of how to use ImageDataGenerator?
Sure! Here's a simple example:
from keras.preprocessing.image import ImageDataGenerator
datagen = ImageDataGenerator(
rotation_range=40,
width_shift_range=0.2,
height_shift_range=0.2,
shear_range=0.2,
zoom_range=0.2,
horizontal_flip=True,
fill_mode='nearest')
What types of transformations can I apply?
You can apply various transformations such as rotation, shifting, shearing, zooming, flipping, and brightness adjustments.
Is it possible to augment data for non-image data?
Yes, data augmentation techniques can also be applied to non-image data, but the methods will differ based on the data type.
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