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Learn how to build efficient input pipelines for machine learning using TensorFlow's tf.data.Dataset API in this 31-minute tutorial. Explore techniques for creating optimized data processing workflows in TensorFlow 2, enhancing your model training performance. Discover the power of tf.data for handling large datasets, implementing data augmentation, and improving overall efficiency in your machine learning projects. Gain practical insights into leveraging the tf.data API to streamline your data preparation and boost your model's training speed.
Syllabus
How to Build TensorFlow Pipelines with tf.data.Dataset
Taught by
James Briggs