Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)

Tensorflow tf.Data api allows you to build a data input pipeline. Using this you can handle large dataset for your deep learning training by streaming training samples from hard disk or S3 storage. tf.data.Dataset is the main class in tf.data api. In this video we see how tf pipeline allows not only to stream the data for training but you can peform various transformations easily by writing a single line of code.

Code: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/44_tf_data_pipeline/tf_data_pipeline.ipynb
Exercise: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/44_tf_data_pipeline/Exercise/tf_data_pipeline_exercise.md
Stackoverflow article: https://stackoverflow.com/questions/53514495/what-does-batch-repeat-and-shuffle-do-with-tensorflow-dataset

⭐️ Timestamps ⭐️
00:00 Introduction
00:21 Theory
07:58 Coding
31:34 Exercise

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