About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
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Intermediate Level

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

Approx. 13 hours to complete
English

What you will learn

  • Use TensorFlow Serving to do inference over the web

  • Navigate TensorFlow Hub, a repository of models that you can use for transfer learning

  • Evaluate how your models work and share model metadata using TensorBoard

  • Explore federated learning and how to retrain deployed models while maintaining data privacy

Skills you will gain

TensorFlow ServingMachine Learningfederated learningTensorFlow HubTensorBoard
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 basic familiarity with building models in TensorFlow.

Approx. 13 hours to complete
English

Instructor

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

TensorFlow Extended

1 hour to complete
12 videos (Total 21 min), 5 readings, 1 quiz
Week
2

Week 2

5 hours to complete

Sharing pre-trained models with TensorFlow Hub

5 hours to complete
11 videos (Total 20 min), 7 readings, 2 quizzes
Week
3

Week 3

5 hours to complete

Tensorboard: tools for model training

5 hours to complete
10 videos (Total 16 min), 2 readings, 2 quizzes
Week
4

Week 4

1 hour to complete

Federated Learning

1 hour to complete
9 videos (Total 22 min), 3 readings, 1 quiz

Reviews

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About the TensorFlow: Data and Deployment Specialization

TensorFlow: Data and Deployment

Frequently Asked Questions

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