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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

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.

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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1351 - 1375 of 5,610 Reviews for Convolutional Neural Networks

By Prem S

May 16, 2020

Very good course. Andrew makes it easy to understand the complex concepts. And his practical insights are pricelss.

By Shankar M

May 15, 2020

Some code-along videos could be added to know the thought process of experts like Andrew!

This course was Excellent!

By Claus E

Apr 29, 2020

Very intense course which I think gives a good knowledge about how to implement many image and speech applications.

By ongole s s

Apr 13, 2020

I had a great way of learning computer vision from basics to in-depth knowledge through coursera.Thank you so much

By Masoomeh G

Jan 13, 2020

I found the course very interesting in terms of giving ideas on the available CNN methods and giving some hands on.

By ABHISHEK K

Jun 24, 2019

This was very deep and more eye opening course where I had to go through yolo, resnet and keras. Much recommeneded.

By 罗炜儒

Dec 7, 2018

讲解卷积神经网络的知识详尽而到位,课后练习能较好的巩固课上所学习的知识,尤其是最后的人脸识别和风格转换作业十分有趣!美中不足的地方在于YOLO算法的课后作业并没有帮助我更好的理解该算法,以致于我现在还对物体识别之类的算法一知半解。

By Siddharth S

Nov 7, 2018

Excellent course. Would become perfect if the assignments were more free and less code was already written in them.

By Tushar D

Sep 16, 2018

After completing this course, I have been able to visualize how convolution network work and it helps a great deal.

By Anton V

Sep 1, 2018

A really good intro to CNNs, gives all the tools and insights that allows you to start working on your own project.

By Rama K P

Jun 27, 2018

Outstanding content deliverance and also covered all the nuances of Deep Learning and CNN's. Thank you Andrew Ng...

By Tamás M

Apr 20, 2018

Amazing course, the concepts and architectures have been explained clearly and the programming assignments are fun!

By Benji T

Feb 27, 2018

I really learn a lot. The content of the 4th course is quite heavy. I might need to go though more in details again

By Showing J

Jan 22, 2018

Very nice class, with interesting topics and detailed explanation and assignments. Thanks for providing this class!

By barry

Apr 28, 2023

Awesome, got to know a lot about computer vision and deep understanding of some popular models inside functioning.

By Mikko S

Apr 23, 2021

Excellent and very informative course! I can recommend this course to anyone who is interested in computer vision!

By Rabih M

Dec 22, 2020

Very interresting course, Very well explained,

with many applications in a domain I love a lot: Image processing.

By MOTURU P B

May 16, 2020

HANDS ON EXERCISES ARE VERY MUCH HELPFUL AND TEACHING THEM IN A CONVOLUTION MANNER HELPS US TO GRASP THINGS BEST.

By Bảo L H

Mar 10, 2020

This is a very useful course! Thank you, professors, for giving me this opportunity to study!!! Thank you so much!

By Justin K

Dec 12, 2018

Phenomenal course that gets you up to speed quickly understanding CNNs including being able to read the literature

By Fernando E L M

Nov 4, 2018

Excellent training course. Clear and interesting content. A lot of interesting explanations of really good papers.

By tusheng w

Apr 14, 2018

wonderful and useful, It helps me a lot when I try to familiar with face recogization, object detection and so on.

By Ivan T

Mar 29, 2018

Yet another amazing course on Deep Learning. The most fun in the series so far. Looking forward o sequence models!

By Cristian D T

Feb 3, 2018

Very complete and informative. I like the fact he uses real already tested high performance examples and models. l

By mohammad k

Dec 11, 2021

The course is a great opportunity for whom are eager to expand their knowledge of deep learning (Deeper learning)