DeepLearning.AI

Convolutional Neural Networks

This course is part of Deep Learning Specialization

Andrew Ng
Kian Katanforoosh
Younes Bensouda Mourri

Instructors: Andrew Ng

Top Instructor

520,566 already enrolled

Gain insight into a topic and learn the fundamentals.
4.9

(42,297 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 35 hours
Learn at your own pace
95%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.9

(42,297 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 35 hours
Learn at your own pace
95%
Most learners liked this course

Details to know

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Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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This course is part of the Deep Learning 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 assignment2 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 assignment2 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 assignment2 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 assignment2 programming assignments

Instructors

Instructor ratings
4.9 (3,180 ratings)
Andrew Ng

Top Instructor

DeepLearning.AI
45 Courses7,778,849 learners

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DeepLearning.AI

Recommended if you're interested in Machine Learning

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4.9

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