About this Course

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Flexible deadlines
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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. 12 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. 12 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
12 videos
Introduction24s
Serving3m
Installing TF Serving1m
TensorFlow Serving summary30s
Setup for serving2m
Serving1m
Predictions41s
Passing data to serving1m
Getting the predictions back1m
Running the colab2m
Complex model2m
5 readings
Downloading the Coding Examples and Exercises10m
Installation link10m
TF server running in colab10m
Serving with Fashion MNIST10m
Ungraded Exercise - Serving with MNIST10m
1 practice exercise
Week 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
11 videos
Introduction to TF Hub2m
Transfer learning1m
Inference1m
Module storage2m
Text based models1m
Word embeddings1m
Experimenting with embeddings1m
Colab1m
Classify cats and dogs1m
Transfer learning1m
7 readings
Tensorflow Hub link10m
Link to saved models10m
Colab10m
Pre-trained Word Embeddings10m
Text Classification Colab10m
MobileNet model details10m
Colab10m
1 practice exercise
Week 2 Quiz
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
10 videos
Tensorboard scalars1m
Callbacks42s
Histograms59s
Publishing model details1m
Local tensorboard2m
Looking at graphics in a dataset2m
More than one image56s
Confusion matrix2m
Multiple callbacks1m
2 readings
tensorboard.dev10m
Colab10m
1 practice exercise
Week 3 Quiz4m
Week
4

Week 4

1 hour to complete

Federated Learning

1 hour to complete
9 videos (Total 22 min), 1 reading, 1 quiz
9 videos
Training on mobile devices2m
Data at the edge2m
How it works2m
Maintaining user privacy3m
Masking2m
APIs for Federated Learning2m
Example of federated learning2m
Outro59s
1 reading
Colab10m
1 practice exercise
Week 4 Quiz30m

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About the TensorFlow: Data and Deployment Specialization

TensorFlow: Data and Deployment

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