November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Data sources
TensorFlow.js provides you with a unified access layer for various kinds of data sources represented by tf.data.Dataset. The data structure is an ordered collection of each sample that allows us to run data transformations lazily:
- tf.data.array: Dataset generated from a JavaScript array
- tf.data.csv: Dataset generated from a CSV file
- tf.data.generator: Dataset generated from a JavaScript generator function
- tf.data.webcam: Dataset created from webcam input
We can ingest these data formats into TensorFlow.js models efficiently by using tfjs-data.
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