About this Course

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Flexible deadlines
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Shareable Certificate
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Intermediate Level

We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow

Approx. 16 hours to complete
English

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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow

Approx. 16 hours to complete
English

Instructor

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(1,073 ratings)Info
Week
1

Week 1

5 hours to complete

Data Pipelines with TensorFlow Data Services

5 hours to complete
10 videos (Total 21 min), 4 readings, 4 quizzes
Week
2

Week 2

3 hours to complete

Splits and Slices API for Datasets in TF

3 hours to complete
7 videos (Total 26 min), 3 readings, 3 quizzes
Week
3

Week 3

4 hours to complete

Exporting Your Data into the Training Pipeline

4 hours to complete
21 videos (Total 44 min), 5 readings, 3 quizzes
Week
4

Week 4

4 hours to complete

Performance

4 hours to complete
22 videos (Total 44 min), 2 readings, 4 quizzes

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About the TensorFlow: Data and Deployment Specialization

TensorFlow: Data and Deployment

Frequently Asked Questions

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