Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
This course is part of the TensorFlow: Data and Deployment Specialization
Offered By


About this Course
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
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
- Artificial Neural Network
- Tensorflow
- Extraction, Transformation And Loading (ETL)
- Data Pipelines
- TensorFlow Datasets
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
Offered by
Syllabus - What you will learn from this course
Data Pipelines with TensorFlow Data Services
Splits and Slices API for Datasets in TF
Exporting Your Data into the Training Pipeline
Performance
Reviews
- 5 stars64.57%
- 4 stars19.87%
- 3 stars8.85%
- 2 stars4.10%
- 1 star2.59%
TOP REVIEWS FROM DATA PIPELINES WITH TENSORFLOW DATA SERVICES
Debugging exercises due to errors in indentation sounded stupid in the first place. But the joy of finally getting a "yes" in the assignment auto-grader beats them all.
Great Experience of Learning and finally came to know in more depth about Tensorflow and definitely I shall use it for future work.
Excellent course both for Data Scientists and Machine Learning Engineers!
I learned a lot from this course about how to optimize TensorFlow data pipelines and how to create public datasets. Thank you! - Steve
About the TensorFlow: Data and Deployment Specialization

Frequently Asked Questions
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Why was Course 3: Data Pipelines with TensorFlow Data Service updated in October 2020?
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