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

4.9
stars
42,355 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

AG

Jan 12, 2019

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

RS

Dec 11, 2019

Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

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2426 - 2450 of 5,619 Reviews for Convolutional Neural Networks

By Xiaotian Z

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Aug 7, 2019

in last assignment, loading FRmodel weights take too long

By Akshay J

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Jun 30, 2019

One of the best courses I have ever done! Really AMAZING.

By Anand R

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Jan 29, 2019

Good Course. Thank You for Provide financial aid for this

By Dan L

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Jul 16, 2018

So specific content, with those fascinating applications!

By Mark D

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Jun 11, 2018

Much better. More focus on coding and logic than on math.

By Mathieu d

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Jun 10, 2018

An excellent mind walk through essential convNets ideas !

By Rajagopal S

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May 14, 2018

Excellent, thank you Andrew NG!! You make it so easy.....

By biqiang

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Apr 30, 2018

这周的编程作业很有挑战性，可能是因为不像最初的两门课，提示少很多的缘故。虽然时间花得多了些，但也学到了不少的东西。

By afshin m

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Feb 18, 2018

Great foundation class on Cconvolutional Neural Networks.

By Martín D

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Dec 1, 2017

excelent!!!!...it will be very useful fusion NLP with CNN

By lediepanh

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Nov 12, 2017

great course, it help a lot on getting start with conv nn

By Akshat k T

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Apr 7, 2022

Awesome and very practical approach toward the concepts.

By Rubén G C

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Mar 23, 2021

Very good, but an intro to keras and tf would be usefull

By Deleted A

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Jan 13, 2021

Great course. I have learn lot of things about conv net.

By Mpho M

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Nov 24, 2020

Well structure and brilliantly executed.

Thanks Andrew Ng

By Utku Ü

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Oct 11, 2020

Very good explenations and example. Thank you Andrew!!!!

By Vahid N

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Sep 5, 2020

I learnt a lot from this course. It is REALLY excellent!

By Sehaj S

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Jul 1, 2020

very well taught and paced for a beginner in this field.

By Samreen P

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Jun 11, 2020

the best site with the best content and the best teacher

By Yash T

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Jun 5, 2020

please solve your iou grading problem in week 3 exercise

By Severus

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May 21, 2020

这个课程详细解读了CNN，是个好课程，Andrew讲的很细致，课后习题要是能再多点就更好了，毕竟CNN现在很火。

By Shyam K

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May 7, 2020

It was the best experience with the coursera I ever had.

By Gabriel G

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May 4, 2020

I found this course to be very useful, very well thought

By Gershom K

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Jan 23, 2020

Clear, straightforward explanations from the instructor.

By Likun C

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Dec 29, 2019

great course. easy to understand. I have learnt so much.