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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

4.9
stars
42,354 ratings

About the Course

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

RK

Sep 1, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

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5151 - 5175 of 5,619 Reviews for Convolutional Neural Networks

By Abu M R

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May 21, 2020

A bit faster in terms of programming assignments

By Soner

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Feb 6, 2020

Programming assignments are basic than expected

By Jonathan R

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Apr 19, 2018

Excellent!

one star missing due to grader problem

By Ziggy W

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Dec 24, 2017

5 stars, except for the bug in grader on part 4.

By QZ Z

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Dec 4, 2017

Few bugs. Except these bugs, others are all good

By Eduardo E d C

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Oct 7, 2020

Andrew is awesome! He explains in a perfect way

By yebenbenben

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Sep 2, 2020

I would expect the homework to be more hands on

By animikh c

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Jun 14, 2020

Good theoretical knowledge gained by it. Thanks

By Deepa K

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Jan 27, 2019

Neural Style Transfer I thought was bit rushed

By Martin T

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Feb 4, 2018

The bug in the tripleloss was very frustranting

By Cuyler D

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Dec 22, 2017

Bugs in the course (it's new so understandable)

By Павел С

•

Nov 19, 2022

Где-то слишком простые Programming Assignments

By João L

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Sep 24, 2020

I had like a lot specialy the face recognition

By Khosro ( P

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May 24, 2019

Good course but sometimes confusing homeworks!

By Zhijun C

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Dec 21, 2017

The assignment has some problems with grading.

By Bruno K

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Nov 25, 2017

There wasn't anything about image segmentation

By DARSHAN D

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Apr 25, 2020

Great Course, learned a lot of basics of CNN.

By Bourne

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Apr 27, 2018

这门课非常好，信息量超大，要反复看。app上做题，适配有点问题，quiz已经没有答案解析了

By Edward W

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Mar 31, 2018

The course can old give you some general idea

By Mehmet S

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Dec 15, 2017

too many problems with the second assignment.

By abjkl

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Dec 4, 2017

Hope can give some more details about keras:)

By Dimitri R

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Nov 17, 2017

Great material, buggy programming assignments

By Krishna k K

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Oct 29, 2022

very good, comprehenive an updated coverage

By Mohamad T

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Feb 2, 2022

it was too long and some comment deceive me.

By Mares B

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Nov 21, 2020

Liked it and I'm exited for the next course!