- Tensorflow
- Data Management
- Performance Tuning
- Data Pipelines
- Data Processing
- Feature Engineering
- Data Transformation
- Data Integration
- Data Import/Export
- Extract, Transform, Load
- Data Sharing
Data Pipelines with TensorFlow Data Services
Completed by Pablo Ignacio López Coya
January 30, 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
