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

4.9
stars
42,533 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

FH

Jan 11, 2019

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

NK

Jul 10, 2024

Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!

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5026 - 5050 of 5,638 Reviews for Convolutional Neural Networks

By Jim R

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Mar 14, 2018

Great course. The poor video editing and strange grading anomalies detracted alot however.

By Vijay S

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Dec 21, 2017

I would have liked to see more details on one-shot learning, zero-shot learning, and GANs.

By Raghav G

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Jul 13, 2020

A decent course though some week's ending materials get a little difficult to comprehend.

By Abhilash S

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Jul 4, 2020

TensorFlow could be explained in a bit more detail which could be helpful for new coders.

By Jason C

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Mar 26, 2018

the grader of the assignment doesn't work well sometimes and wasted a lot of time on it.

By Robert L

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Feb 11, 2018

Would have been 5/5 if the final assessment didn't have a bug in the submission grading.

By Pavel C

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Nov 28, 2017

Great course!

Though you need to fix some problems and errors with last programming task.

By Don S

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Jan 16, 2021

The lectures are excellent. I wish the labs were in Tensorflow 2.0 not Tensorflow 1.0.

By David N

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Dec 5, 2017

Problems with expected answers matching output for graded functiosn proved frustrating.

By Subodh C

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Mar 3, 2018

Issue : The final assignment issues needed too much debugging that was grader related.

By Li J

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Dec 4, 2018

Great introduction course for convnet, but I hope to see how does the back prop work.

By Heikki S

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Sep 5, 2018

Very good course, but some of the videos could have used some more editing in places.

By Mateusz O

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Jan 29, 2021

Great course overall, but sometimes programming assignment feels like copy and paste

By Deleted A

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Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

By Einar W A

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May 20, 2019

An error with the "Face recognition" notebook, otherwise a great and in-depth course

By manpreet s

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Dec 23, 2018

Great course for the ones who wants to learn CNN and the working of the convolution

By Alisa K

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Jan 30, 2018

Good course. I got a lot of knowledge in this course, but a lot of bugs in exercise

By Алексей А

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Dec 12, 2017

ConvNets are no more black boxes for me. May be some more mathematics worth to add.

By Jeffrey L

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Nov 6, 2017

I wish other topics like semantic segmentation, pose estimation, etc. were covered!

By Sudikshan R

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Sep 15, 2020

Most interesting module yet!! It's so fun to see applicatios of CNNs in companies!

By jia-you, C L

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Nov 2, 2018

this course is helpful learning to image analyze, but the homework bug is too more

By Sergio O N S

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Nov 21, 2023

A bit more complex than the other ones in the specialization. Very useful anyway.

By Dip A

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Jun 27, 2020

This course is very good for Intermediate level.Thank you for this amazing course

By Chris D

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Nov 11, 2017

Good, a little hastily prepared perhaps, repetition in dialogue. Still best MOOC.

By Deepshri S S

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Apr 5, 2020

The course has some really good content and the assignments are helpful as well.