About this Course

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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
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your 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), 2 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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