DeepLearning.AI

Convolutional Neural Networks

This course is part of Deep Learning Specialization

Taught in English

Some content may not be translated

Andrew Ng
Kian Katanforoosh
Younes Bensouda Mourri

Instructors: Andrew Ng

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508,381 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.9

(42,171 reviews)

|

95%

Intermediate level

Recommended experience

35 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.9

(42,171 reviews)

|

95%

Intermediate level

Recommended experience

35 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Deep Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.

What's included

12 videos6 readings1 quiz2 programming assignments

Discover some powerful practical tricks and methods used in deep CNNs, straight from the research papers, then apply transfer learning to your own deep CNN.

What's included

14 videos3 readings1 quiz2 programming assignments

Apply your new knowledge of CNNs to one of the hottest (and most challenging!) fields in computer vision: object detection.

What's included

14 videos4 readings1 quiz2 programming assignments

Explore how CNNs can be applied to multiple fields, including art generation and face recognition, then implement your own algorithm to generate art and recognize faces!

What's included

11 videos6 readings1 quiz2 programming assignments

Instructors

Instructor ratings
4.9 (3,154 ratings)
Andrew Ng

Top Instructor

DeepLearning.AI
44 Courses7,448,598 learners

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DeepLearning.AI

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4.9

42,171 reviews

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