A gentle introduction to tf.data with TensorFlow - PyImageSearch
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018) - YouTube
Optimising your input pipeline performance with tf.data (part 1) | by Junhup Lim | Towards Data Science
Intro to Data Input Pipelines with tf.data | Kaggle
GitHub - NVIDIA/go-tfdata: Go library that provides easy-to-use interfaces and tools for TensorFlow users, in particular allowing to train existing TF models on .tar and .tgz datasets
Better performance with the tf.data API | TensorFlow Core
TensorFlow 2.0: tf.data API. If you remember the time when only… | by Firiuza | Analytics Vidhya | Medium
tf.data.Dataset generators with parallelization: the easy way | by Antoine Cordier | Medium
Intro to Data Input Pipelines with tf.data | Kaggle
Tf.estimator, a Tensorflow High-level API | by Abhinav Prakash | Towards AI
TensorFlow Data for Dummies. Demystifying the TensorFlow… | by Revannth V | The Startup | Medium
Building a High-Performance Data Pipeline with Tensorflow 2.x - Srijan
Why tf.data is so much better than feed_dict and how to build a simple data pipeline in 5 minutes. | by Dominik Schmidt | Medium
How to Reduce Training Time for a Deep Learning Model using tf.data | by Renu Khandelwal | Towards Data Science
How to accelerate tensor transferring from host to device (GPU) in TF 2.x? · Issue #44836 · tensorflow/tensorflow · GitHub
Intro to Data Input Pipelines with tf.data | Kaggle
Analyze tf.data performance with the TF Profiler | TensorFlow Core
Inside TensorFlow: tf.data - TF Input Pipeline - YouTube
Reading data
Building efficient data pipelines using TensorFlow | by Animesh Agarwal | Towards Data Science
How to Reduce Training Time for a Deep Learning Model using tf.data | by Renu Khandelwal | Towards Data Science
Analyze tf.data performance with the TF Profiler | TensorFlow Core
Better performance with the tf.data API | TensorFlow Core
