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

4.9
stars
42,318 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

OA

Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

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.

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801 - 825 of 5,613 Reviews for Convolutional Neural Networks

By Yashovardhan S

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May 26, 2020

This course is amazing. This teaches about how the state-of-the-art Computer Vision systems work. This courses also teaches us how to implement these techniques in real life

By Juan C B

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May 21, 2020

Such a nice course! I really enjoyed being taught how CNN algorithms work and how to implement them by myself, thank you so much.

Now It's time to implement my own projects!

By EC-A-411 S V

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Apr 20, 2020

I have learnt about the CNN from basics to advanced applications and now I am able to read papers based on CNN comfortably. Thank you for andrew ng for guiding this course

By Amogha T S

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Apr 4, 2020

videos were really amazing and easily understood the assignment tutorial(coding) must be done as videos hence making a better understanding that would be more helpful i feel

By Sintyadi T

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May 1, 2019

People talks about convolutions, but not everyone understand how it works. This course helps you to understand what a convolution layer does, and even build it from scratch!

By ashesh g m

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Aug 17, 2018

I learnt lot of things about CNN. Now, I have the confidence that I can setup a CNN if required for my work. Also looking at its use case other than images was interesting.

By Pratyush S

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Jan 24, 2018

Extremely well-explained and detailed nuances of the various networks gives us a great boost to start reading the papers referred and applying the concepts in various tasks.

By Adam S

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Dec 14, 2017

The assignments are phenomenal covering real papers such as yolo, resnet, facenet ect. There were a few bugs with the assignments but those will be corrected soon I suspect.

By Jessica

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Aug 19, 2020

I really enjoy these assignments! Hope they could be more detailed, such as including all functions, so that I could build a complete model from scratch. Thank you so much!

By Chirag G

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Mar 11, 2020

The best you can get is being delivered through this course. And as everyone already knows that Andrew Ng is the best mentor there is, so I don't need to elaborate on that.

By Siddhi V T

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Jan 25, 2020

Made me confident about the concepts of convolutional neural networks. I think anyone who wants to learn about cnn with great and develop intuition must opt for this course

By shishir m

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Dec 23, 2019

Well designed and structured course to learn about convolutional neural networks. Real life applications are introduced in this course. I learnt a lot from the assignments.

By Artem D

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Jun 10, 2019

Very interesting and understandable! I believe, that even a person who has never heard about ML/DL will understand the topic. Andrew Ng's courses are the best in the field!

By Aatish S

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Mar 31, 2019

Very much thankful to Coursera for bringing recent technology on object detection, localization and facial recognition as subject matter to interested scholars and readers.

By Meenakshi S R

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Sep 9, 2024

Again - explained complicated subjects with relatively simple terms. I would say the if you have interest in NNs, then these courses and videos were a bit addicting to me.

By Francesco T

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Nov 26, 2021

Great course ! Many thanks to everybody who worked hard to put it together !

I wrote a "review" on LinkedIn:

https://www.linkedin.com/posts/activity-6869988583508332544-eNo0

By Aakash S

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Aug 24, 2021

Excellent course with very wide coverage of topics in CNN. I was able to utilize the knowledge gained from this course to an entirely different business/technical problem.

By David S

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Mar 19, 2021

First one in the sequence that was a bit challenging. Andrew gave his usual great explanation and the programming exercises were very motivational as well as instructive.

By Carlos V M R

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Oct 1, 2020

Ótimo curso para quem deseja aprender as noções básicas de visão computacional. Apresenta alguns modelos mais complexos, entretanto, foca mais na parte trivial dos mesmos.

By Krishna R

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Aug 8, 2020

It was a great course, i learnt many things and basically how we can implement computer vision using Deep learning principles. Thank You Andrew Ng for such a great course.

By Raj M

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Feb 6, 2020

Really concise and insightful course. The assignments and quizzes really help you recapitulate and better understand what's taught in the videos. No complaints whatsoever.

By Michael D

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Aug 7, 2019

Cool projects! The image one is interesting but runs too slow on cpu to play with. Also you need to really remember your tensorflow session running for some of the tasks.

By Bola F

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May 6, 2019

The course is great, only one thing is missing which is more hands-on projects, not just one per week.

Oh, and it also missed OpenCV. Other than that, top in class content.

By Prateek J

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Nov 10, 2018

This is my first Coursera Course and I am very happy to complete this. The content is varied and Andrew teaches the course very intuitively. His lectures are never boring.

By Michał K

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Oct 2, 2018

Great course for those who would like to improve their computer vision skills. Perfect mix of usage of keras and tensorflow api. Best course so far in this specialization.