LightTag/BibSample

Eample of using dataset api in tensorflow

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This project helps machine learning engineers or data scientists prepare text data, specifically biblical verses, for use in TensorFlow models. It takes raw text, organizes it into structured examples (books, chapters, verses), and converts these into an optimized format called TFRecords. The output is a dataset ready for training a neural network model in TensorFlow.

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Use this if you are a machine learning engineer or data scientist looking for a practical example of how to ingest and prepare text data, specifically for text classification tasks, into TensorFlow using its Dataset API.

Not ideal if you are looking for a state-of-the-art neural network architecture or a ready-to-use solution for general text processing without any coding.

Machine Learning Engineering Data Preparation Natural Language Processing Text Classification TensorFlow Datasets
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 18 / 25

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39

Forks

12

Language

Jupyter Notebook

License

MIT

Last pushed

May 01, 2018

Commits (30d)

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