This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation. You will learn how to apply data augmentation in two ways: Use the Keras preprocessing layers, such as tf. keras.
data-science deep-learning keras-neural-networks catvsdog datapreprocessing dataaugmentation catvsdogdataset keraspreprocessing
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Updated
Mar 6, 2022 - Jupyter Notebook