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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung TensorFlow: Data and Deployment
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Über diesen Kurs
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
Was Sie lernen werden
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
Kompetenzen, die Sie erwerben
- 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
Lehrplan - Was Sie in diesem Kurs lernen werden
Data Pipelines with TensorFlow Data Services
Splits and Slices API for Datasets in TF
Exporting Your Data into the Training Pipeline
Performance
Bewertungen
- 5 stars64,64 %
- 4 stars19,73 %
- 3 stars8,89 %
- 2 stars4,12 %
- 1 star2,60 %
Top-Bewertungen von DATA PIPELINES WITH TENSORFLOW DATA SERVICES
This course many for challengging in code but, before it, i learn it in my college. So, i do this assignment.
Thorough course on Data Services API. Challenging but worthwhile final assignment.
I understand why most of the students are furious about, but content wise, it one of those extremely helpful and important courses in Coursera. Really loved it!
Laurence cares deeply about the students. Not only about what they learn, but that they actually enjoy and learn it. What a fantastic teacher.
Über den Spezialisierung TensorFlow: Data and Deployment

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