Reducing Overfitting with Keras Preprocessing Layers
Learn how to use Keras preprocessing layers to integrate image augmentation directly into your model graph, reducing overfitting while simplifying the training-to-inference pipeline.
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Learn how to use Keras preprocessing layers to integrate image augmentation directly into your model graph, reducing overfitting while simplifying the training-to-inference pipeline.
Learn how to use tf.data.Dataset.prefetch() and parallel_interleave() to boost I/O throughput, reduce GPU idle time, and keep your training pipeline efficient.