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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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776 - 800 of 5,610 Reviews for Convolutional Neural Networks

By Mahendri D

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Aug 5, 2018

wow, interesting topics! starting from building blocks of 2D convolution then branch off to many CV problems. thanks Andrew Ng, deeplearning.ai, Coursera for this awesome course

By Taegoo K

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Mar 27, 2018

This course is mandatory for those who wants to learn machine learning and especially who wants to build an awesome applications that use image processing based on big data set.

By Juan R C C

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Dec 10, 2017

Despite of some troubles in some assignments, I realize this is a great course. It gives a broad vision on deep learning convolutional NN applications in a good level of detail.

By dikshant g

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Dec 6, 2017

Content of the course and assignments are pretty good. Found some problem in submitting last week's assignments(read on discussion forum that coursera is working to resolve it).

By Pascal E

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Nov 15, 2017

This is a great course. Andrew Ng is a gifted lecturer. The course was well presented and the materials are easy to follow. I expect a similar lecture on reinforcement learning.

By Rustem Z

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Sep 24, 2023

I appreciate this great opportunity to learn from you while I couldn't get to study at Stanford as an international from a developing country, this is a dream come true for me!

By Shivam S

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Mar 17, 2021

wonderful course with well organized course content and assignments designed in a elegent manner, I learned a lot form this course as well as from deep learning specialization

By Akash G

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Dec 16, 2018

This course explains different CNN architectures, object detection, face recognition, neural style transfer in a very effective way; Great course to understand concepts of CNN

By Vijay A

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Mar 27, 2018

In his usual style, Andrew takes us into the world of Computer Vision. The main topics in the field are covered sufficiently which enables us to move on to more recent avenues.

By Dan B

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Mar 6, 2018

This is the computer science equivalent of the Feynman lectures. An introduction to the state of the art that is truly approachable and clear by one of the giants in the field.

By Hao X

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Aug 24, 2020

I really like the case studies with famous models as examples, that swiftly brings me to a very good overview what each different tasks can covnet contribute to. Great course!

By PUNEET S

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Jun 25, 2020

Before enrolling, i read the reviews that programs have many bugs. But as on June,2020 i didn't find any bugs. Everything is working fine. Good course to learn about Convnets.

By Arsalan J

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Apr 9, 2019

This Course will give you a brief to intermediate understanding about convolution network. You will then have to practice on different data sets to have a firm grip on ConvNet

By Hao D

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Apr 1, 2019

It's very useful, in this course, it show us not only the details of theory, but also many popular example of neural networks and algorithms! very good course, worth to learn.

By Nitin P

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Jan 16, 2018

Not only learned the concepts behind CNNs but also understood current important applications using CNNs. Thank you for explaining such complex topics in a fun and easy manner.

By João S

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Nov 26, 2017

Ver interesting. Great course. I've been learning Deep Learning for some time, this course had the best explanations that I have found. And Andrew Ng its just a great teacher.

By Sai G B A

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May 1, 2020

This is the most exiting course that i have taken in this specialization. I came know how to build many CNN models. Autonomous car driving most exited me in the whole course.

By antonino s

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Apr 11, 2020

Very interesting. More challenging and complex than previous courses in the same specialization. This course clarifies how CNNs could be really helpful in real world context.

By Sahan P

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Nov 27, 2019

Great Course. Goes in-depth about convolutional networks. And try to explain the state of the art model archetypes as well. (at even Dec 2019 these models are worth studying)

By Gilles P P

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Nov 4, 2019

As with previous courses, I really appreciated the teaching of Andrew: interesting, well explained, enjoyable, easy to understand even for a non natif English speaker as I am

By Adrian-Stefan U

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Jan 24, 2018

Excellent material and presentations!

The assignments are more challenging this time, so don't expect passing them too easily.

Looking forward to the next course in the series!

By Erik E

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Nov 4, 2017

This has been the best course in the deep learning specialization so far. There is a lot of content to digest, but it's broken down expertly by the lectures and assignments.

By Muhammad I

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Sep 25, 2022

This course is one of "the best resources" for learning the deep learning conceprs applied to convolutional Neural Networks. Highly recommended for the future aspirants !!!

By Jagruti P

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Aug 22, 2020

I really enjoyed the course a lot. Though I have done projects in Computer Vision from before, yet this course has a lot to offer. Learning never hurts. It's a great course.

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