Data augmentation recipes in tf.keras image-based models
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
image-classification deep-learning data-augmentation computer-vision article code notebook recipe tensorflow keras tutorial

Here’s a brief overview of the different ways we are going to cover

  • Using the standard ImageDataGenerator class
  • Using TensorFlow image ops with a TensorFlow dataset
  • Using Keras’s (experimental) image processing layers
  • Mix-matching different image ops & image processing layers

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Calling `model.fit()` @ https://pyimagesearch.com | Netflix Nerd
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