Data Pipelines with TensorFlow Data Services
Completed by Marko Niemi
February 3, 2020
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 Preprocessing
- Category: Data Processing
- Category: Data Sharing
- Category: Applied Machine Learning
- Category: Data Pipelines
- Category: Tensorflow
- Category: Performance Tuning
- Category: Data Transformation
- Category: Model Training
- Category: Data Management
- Category: Feature Engineering
- Category: Data Import/Export
