Data Pipelines with TensorFlow Data Services
Completed by Niko Dharmawan
April 25, 2022
11 hours (approximately)
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What you will learn
Perform efficient ETL tasks using Tensorflow Data Services APIs
Construct train/validation/test splits of any dataset - either custom or present in TensorFlow Hub Dataset library - using Splits API
Use different modules and functions of the TFDS API to prepare your data for training pipelines
Identify bottlenecks in your input pipelines and increase your workflow efficiency by input parallelization
Skills you will gain
- Category: Data Sharing
- Category: Model Training
- Category: Data Preprocessing
- Category: Data Processing
- Category: Tensorflow
- Category: Data Pipelines
- Category: Data Transformation
- Category: Applied Machine Learning
- Category: Feature Engineering
- Category: Data Management
- Category: Data Import/Export
- Category: Performance Tuning
