TFRecords
Explore how to serialize tf.train.Example protocol buffers and write them as byte strings into TFRecords files. This lesson guides you through implementing TFRecordWriter to store multiple serialized examples efficiently, enabling you to create scalable TensorFlow data pipelines for large datasets.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Learn how to write serialized protocol buffers to TFRecords files
- Implement a function that writes a list of feature data to a TFRecords file
A. Serialization
After creating a tf.train.Example ...