It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use tf.data.Dataset.prefetch(AUTOTUNE) and tf.data.Dataset.cache() methods for this purpose. They help you optimize tensorflow input pipeline performance. In this video we will go over how these two methods work and will write some code as well. Code: https://github.com/codebasics/deep-le... Deep learning playlist: • Deep Learning With Tensorflow 2.0, Ke... Machine learning playlist: https://www.youtube.com/playlist?list... 🔖Hashtags🔖 #tensorflowpipeline #tensorflowprefetchdataset #tensorflowprefetchautotune #prefetchautotune #tensorflowinputpipeline #tensorflowprefetch #tensorflowdatapipeline