About this Course

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Shareable Certificate
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Start instantly and learn at your own schedule.
Course 4 of 5 in the
Flexible deadlines
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Intermediate Level
Approx. 20 hours to complete
English

Skills you will gain

Facial Recognition SystemTensorflowConvolutional Neural NetworkArtificial Neural Network

Learner Career Outcomes

36%

started a new career after completing these courses

37%

got a tangible career benefit from this course

12%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 20 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(52,525 ratings)Info
Week
1

Week 1

6 hours to complete

Foundations of Convolutional Neural Networks

6 hours to complete
12 videos (Total 140 min), 4 readings, 3 quizzes
12 videos
Edge Detection Example11m
More Edge Detection7m
Padding9m
Strided Convolutions9m
Convolutions Over Volume10m
One Layer of a Convolutional Network16m
Simple Convolutional Network Example8m
Pooling Layers10m
CNN Example12m
Why Convolutions?9m
Yann LeCun Interview27m
4 readings
Strided convolutions *CORRECTION*1m
Simple Convolutional Network Example *CORRECTION*1m
CNN Example *CORRECTION*1m
Why Convolutions? *CORRECTION*1m
1 practice exercise
The basics of ConvNets30m
Week
2

Week 2

5 hours to complete

Deep convolutional models: case studies

5 hours to complete
11 videos (Total 99 min), 1 reading, 2 quizzes
11 videos
Classic Networks18m
ResNets7m
Why ResNets Work9m
Networks in Networks and 1x1 Convolutions6m
Inception Network Motivation10m
Inception Network8m
Using Open-Source Implementation4m
Transfer Learning8m
Data Augmentation9m
State of Computer Vision12m
1 reading
Inception Network Motivation *CORRECTION*1m
1 practice exercise
Deep convolutional models30m
Week
3

Week 3

4 hours to complete

Object detection

4 hours to complete
10 videos (Total 85 min), 2 readings, 2 quizzes
10 videos
Landmark Detection5m
Object Detection5m
Convolutional Implementation of Sliding Windows11m
Bounding Box Predictions14m
Intersection Over Union4m
Non-max Suppression8m
Anchor Boxes9m
YOLO Algorithm7m
(Optional) Region Proposals6m
2 readings
Convolutional Implementation of Sliding Windows *CORRECTION*1m
YOLO algorithm *CORRECTION*1m
1 practice exercise
Detection algorithms30m
Week
4

Week 4

5 hours to complete

Special applications: Face recognition & Neural style transfer

5 hours to complete
11 videos (Total 76 min), 3 readings, 3 quizzes
11 videos
One Shot Learning4m
Siamese Network4m
Triplet Loss15m
Face Verification and Binary Classification6m
What is neural style transfer?2m
What are deep ConvNets learning?7m
Cost Function3m
Content Cost Function3m
Style Cost Function13m
1D and 3D Generalizations9m
3 readings
Triplet Loss *CORRECTION*1m
Face Verification and Binary Classification *CORRECTION*1m
Style Cost *CORRECTION*1m
1 practice exercise
Special applications: Face recognition & Neural style transfer30m

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About the Deep Learning Specialization

Deep Learning

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