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.
Этот курс входит в специализацию ''Специализация TensorFlow: Data and Deployment'
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Об этом курсе
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
Чему вы научитесь
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
Приобретаемые навыки
- 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
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Программа курса: что вы изучите
Data Pipelines with TensorFlow Data Services
Splits and Slices API for Datasets in TF
Exporting Your Data into the Training Pipeline
Performance
Рецензии
- 5 stars64,64 %
- 4 stars19,73 %
- 3 stars8,89 %
- 2 stars4,12 %
- 1 star2,60 %
Лучшие отзывы о курсе 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.
Was not that much engaging because the lectures were not linked properly and were lacking examples to support the content
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!
I was really looking forward to learning efficient data pipelines and that is utterly what I learned here in this course. Best in its class.
Специализация TensorFlow: Data and Deployment: общие сведения

Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
Why was Course 3: Data Pipelines with TensorFlow Data Service updated in October 2020?
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