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

4.9
stars
42,300 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

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.

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

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2226 - 2250 of 5,610 Reviews for Convolutional Neural Networks

By Michael Y

May 19, 2020

Great course, loved the programming exercises, a lot of fun to do

By Divyank S

Apr 23, 2020

Handon really good for Image analytics and practical applications

By Ammar T

Mar 24, 2020

The visualization of content was amazing and it's quit attractive

By AAYUSH K

Mar 23, 2020

Very well explained course with excellent quality of assignments.

By Abhishek T

Jan 4, 2020

Got a very good understanding of different convnet architectures.

By Suhit S B

Sep 27, 2019

Great course for starting into computer vision with deep learning

By Daniel H

Sep 25, 2019

Excellent teaching that make the difficult subject easy to learn!

By Yikuan T

Jun 19, 2019

it's quite a useful course for a student who are interested in DL

By Van N H P

Jun 4, 2019

The best course in Deep Learning right now on the whole internet!

By 陈雪松

Mar 11, 2019

I learn a lot from this serial courses, especially from exercise.

By sai v

Mar 5, 2019

Excellent course for computer vision techniques, must recommended

By Yi-Chia C

Nov 24, 2018

Perfect course learning CNN and other image processing knowledge.

By Martín A B

Nov 6, 2018

Good theoretical material. Great for a first introductory course.

By Matthias W

Aug 11, 2018

Great introduction to convolutional networks and fun assignments!

By Jui-wen L

Jun 7, 2018

I love the way convolution is explained. Very easy to understand.

By Yutian N

Apr 29, 2018

Great course with hands-on experience of cutting-edge CNN models.

By Sergio A

Apr 8, 2018

Great course. Very clear explanations and very nice applications.

By Mouhamadou M D

Feb 6, 2018

Well crafted class, with clear content and practical assignments.

By Jerry H

Dec 7, 2017

Good introduction to a lot of advanced image recognition problems

By Hiep N V

Dec 1, 2017

Thanks for such great course, I've learned a lot from this course

By ForestD

Nov 12, 2017

very good course. thanks Andrew for providing so valuable things.

By Alex J

Aug 6, 2021

Great course on CNNs, have learnt a great deal from this course.

By Ali M

Dec 26, 2020

Most simplified explanation to the CNN concepts , thank you guys

By Glen B H

Sep 23, 2020

Want to know more on how to train with the triplet loss function

By Jan W

Aug 3, 2020

I learned a lot and really enjoyed this. Thanks to all involved!