Data Pipelines with TensorFlow Data Services
Master efficient data pipeline creation using TensorFlow Data Services for ML model training. Learn ETL, splits API, and performance optimization.
Master efficient data pipeline creation using TensorFlow Data Services for ML model training. Learn ETL, splits API, and performance optimization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full TensorFlow: Data and Deployment Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Perform efficient ETL tasks using TensorFlow Data Services APIs
Construct train/validation/test splits using Splits API
Optimize data pipelines to eliminate training bottlenecks
Use TFDS API for data preparation and training
Publish datasets to TensorFlow Hub library
Skills you'll gain
This course includes:
2.25 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on building efficient data pipelines using TensorFlow Data Services. Students learn to perform streamlined ETL tasks, work with various datasets using TensorFlow Hub APIs, and optimize data pipelines to prevent training bottlenecks. The curriculum covers creating reproducible I/O pipelines, handling different data formats, and publishing datasets to TensorFlow Hub. The course emphasizes practical implementation through hands-on programming assignments and real-world scenarios.
Data Pipelines with TensorFlow Data Services
Module 1 · 2 Hours to complete
Splits and Slices API for Datasets in TF
Module 2 · 2 Hours to complete
Exporting Your Data into the Training Pipeline
Module 3 · 3 Hours to complete
Performance
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Pioneering AI Educator and Best-Selling Author
Laurence Moroney is an award-winning artificial intelligence researcher and best-selling author dedicated to making AI and machine learning accessible to everyone. As an instructor at DeepLearning.AI, he has taught millions through MOOCs and YouTube, while also serving as a keynote speaker at various events. Moroney is a fellow of the AI Fund and advises several AI startups, leveraging his expertise to foster innovation in the field. Based in Seattle, Washington, he is also an active member of the Science Fiction Writers of America, having authored multiple sci-fi novels and comic books. When not immersed in technology, he enjoys indulging in coffee and exploring creative writing.
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4.4 course rating
516 ratings
Frequently asked questions
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