About this Course

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Coursera Labs
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Course 4 of 5 in the
Intermediate Level
  • Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures

  • A basic grasp of linear algebra & ML

Approx. 36 hours to complete
English

Skills you will gain

  • Deep Learning
  • Facial Recognition System
  • Convolutional Neural Network
  • Tensorflow
  • Object Detection and Segmentation
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Course 4 of 5 in the
Intermediate Level
  • Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures

  • A basic grasp of linear algebra & ML

Approx. 36 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

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Week
1
Week 1
10 hours to complete

Foundations of Convolutional Neural Networks

10 hours to complete
12 videos (Total 140 min), 6 readings, 5 quizzes
Week
2
Week 2
9 hours to complete

Deep Convolutional Models: Case Studies

9 hours to complete
14 videos (Total 127 min), 2 readings, 4 quizzes
Week
3
Week 3
9 hours to complete

Object Detection

9 hours to complete
14 videos (Total 110 min), 3 readings, 4 quizzes
Week
4
Week 4
9 hours to complete

Special Applications: Face recognition & Neural Style Transfer

9 hours to complete
11 videos (Total 75 min), 4 readings, 4 quizzes

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About the Deep Learning Specialization

Deep Learning

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