About this Course

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Shareable Certificate
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100% online
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Advanced Level

* Python 3

* Knowledge of general machine learning concepts

* Knowledge of the field of deep learning

* Probability and statistics

Approx. 53 hours to complete
English

Skills you will gain

Probabilistic Neural NetworkDeep LearningGenerative ModelTensorflowProbabilistic Programming Language (PRPL)
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.
Advanced Level

* Python 3

* Knowledge of general machine learning concepts

* Knowledge of the field of deep learning

* Probability and statistics

Approx. 53 hours to complete
English

Offered by

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Imperial College London

Syllabus - What you will learn from this course

Week
1

Week 1

12 hours to complete

TensorFlow Distributions

12 hours to complete
14 videos (Total 92 min), 4 readings, 2 quizzes
Week
2

Week 2

12 hours to complete

Probabilistic layers and Bayesian neural networks

12 hours to complete
11 videos (Total 110 min)
Week
3

Week 3

13 hours to complete

Bijectors and normalising flows

13 hours to complete
12 videos (Total 93 min)
Week
4

Week 4

13 hours to complete

Variational autoencoders

13 hours to complete
10 videos (Total 77 min)

Reviews

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About the TensorFlow 2 for Deep Learning Specialization

TensorFlow 2 for Deep Learning

Frequently Asked Questions

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