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

4.9
stars
42,317 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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5476 - 5500 of 5,613 Reviews for Convolutional Neural Networks

By Gleb F

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Jan 9, 2021

Too much emphasis on python programming skills.

By Guglielmo F

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Dec 31, 2020

The Neural Style Net sheet has to be reviewed!!

By Tze-Yuan C

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Apr 30, 2018

The coding assignment is a little bit too brief

By Antoine H

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Dec 7, 2017

Several bugs in the last programming assignment

By Maciej G

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Nov 28, 2017

too much material related to vision detection

By Han K K

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Jan 6, 2018

Too much technical errors in the assignments

By lokesh w

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Feb 3, 2021

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By Chengqian W

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Jul 31, 2018

Some technical issues/errors in lectures.

By Patrick M

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Feb 8, 2019

Too many mistakes in assignment material

By Karan D

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Jan 7, 2018

there were bugs in the jupyter notebooks

By Mohammad A

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Sep 19, 2020

programming assignments are not helpful

By eric v

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Apr 19, 2018

some of the quizzes were a little buggy

By Walid M A

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Nov 17, 2017

I did not like the assignments of w#4

By Pakhapoom S

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Mar 14, 2021

The videos need to be edited properly.

By Sai D S

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Jan 17, 2019

Little bit hard programming Excercise

By Xirui Z

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Apr 7, 2021

Too hard for someone new to tf.

By Sanskar j

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Jun 18, 2020

Assignments can be made better

By Jisheng L

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Jun 15, 2018

Need improvement on assignment

By Amzad H R 1

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Feb 2, 2023

good for basic understanding

By Pedro C

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Jun 10, 2018

notebook were not functional

By Modassir A

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May 11, 2020

need improvement of content

By Olatunji O

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Feb 12, 2019

Notebooks are a bit buggy

By Yi-Hao K

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Jan 20, 2018

Serious bug in assignment

By Yide Z

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Jan 13, 2018

too many errors in test

By akshat

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Jun 25, 2021

Labs should be tougher