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

4.9
stars
42,029 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

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

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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376 - 400 of 5,570 Reviews for Convolutional Neural Networks

By Himanshu B

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Jul 17, 2018

This is must course for the ones who really want to move into deep learning and the most important part of Deep learning and machine learning. So much informative and the best part is practical implementation where learning is so much great and informative with instructions.

By Luis O

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Mar 20, 2018

I had only a little knowledge of CNN and struggled to grasp some concepts but after watching the lectures only once I can confidently explain the structure of a CNN and even compute the dimension of the layers on the fly thanks to the quiz questions. Totally would recommend.

By Sai K

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Mar 16, 2020

I'm very glad that I chose Deeplearning.ai to learn AI. Andrew not only helped us learn the state-of-the-art techniques but also encouraged us to experiment and explore the concepts. I definitely am looking forward to complete the full specialization. Thank you Coursera !!!

By Fanyi D

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Nov 17, 2019

Prof. Andraw Ng is very good at presenting the core ideas to audience in simple and intuitive words and this course is especially useful for engineers with different background to step into or refresh some principles of the CNN. I personally strongly recommend this course.

By Kurt K

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Nov 27, 2017

A clear explanation of a difficult subject with an emphasis on being able to create and to understand your own neural networks.- Plus in this module how to use algorithms which significantly reduce your computational needs and with an introduction to processing visual data.

By Mcvean S

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Nov 11, 2020

This course was an amazing experience! Learning with one of the greatest minds in the field, and the simplicity of this course to cover the topics in depth is exceptional. Everyone interested to dive into the field of CNNs and Computer Vision will benefit from this course.

By Bharath C

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Oct 23, 2020

This course is really informative on various concepts of CNNs and I believe it is a must for any beginner starting in Deep learning to start with this course to understand the overall applications as well as the procedure and programming involved in each of those concepts.

By Arkajyoti M

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Jun 10, 2019

Thank you so much for this wonderful course.

I have only one suggestion there's a lot of bugs in the notebooks, especially the last one Week 4 Happy House Face recognition. Please fix that as a lot of weights are missing and completing that exercise involves a lot of hacks.

By Alex B

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Oct 12, 2018

The most challenging course in the series so far, it was also the one that helped me best understand how these networks function. I have already recommended this course to colleagues, and think it is the perfect course for an intro to computer vision, tensor flow and Keras

By Trijudi M S

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Mar 26, 2022

great references and explaination. with this course, i getting more knowledge about Convolutional Neural Network, like to many type CNN (AlexNet, GoogleNet, ResNet, etc). i curious about image segmentation and landmark detection. thanks for giving me to learn this course

By Arun P R

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May 1, 2020

Its is the finest and greatest course I have ever seen on Convolutional Neural Network. It feeds a lot of intuition on the field of Computer vision and CNN impact on it. It goes through many state of art algorithms and revolutionary implementations of Deep neural network.

By SOUMYODEEP D

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Dec 3, 2020

Great Course!! Just completed it. Really a good course for beginners who want a jump start in CNNs. Without the theory given in this course, it will be really difficult for someone to implement Convolutional Neural Nets in practice using Tensorlfow or any other library.

By Ruthuparna K

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Aug 25, 2020

I am thoroughly satisfied with this course, as it gives a very in-depth knowledge into CNN and their applications, while also giving an introduction into TensorFlow and Keras. Andrew Ng is amazing as always. I loved the interesting things we got to do in the assignments.

By aditya g

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Mar 17, 2018

Very nicely prepared and presented. Assignments gives good insights into concepts learned while for yolo,neural styles, face recognition problems eagerly looking for building CNN architectures from scratch & training them in future courses. Thanks a lot Andrew & Team..!!

By Serzhan A

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Nov 20, 2017

The best course in the series so far. Andrew Ng makes the complicated seem easy and does so by dividing the topics into small digestible pieces. You will binge-learn his courses because of how addicting and gratifying the experience of learning is made by the instructor.

By Nguyá»…n V A

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Jun 27, 2021

This course is excellent! I would recommend this course if you love CNN and want to know more about it. Personally, I would like to thanks Andrew Ng and all the equipes for providing such an amazing content. Besides, thanks for giving me the chance to learn this course!

By Danilo B

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Aug 8, 2020

This course is perfect at introducing a newcomer to CNNs and at the same time covering many applications of this type of neural network. I like how even though the papers mentioned are sometimes 5 years old Professor Ng and the team is able to create such a good course.

By Eung P

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May 15, 2021

An excellent course on CNN! After watching Professor Andrew's video lectures and trying related programming work, I was able to gain a reasonable amount of confidence on the various concepts, which otherwise could have been overwhelmingly difficult and complicated.

By Elio M

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May 2, 2020

Great course once again! It would benefit by having the programming exercises for weeks 2-4 somewhat less trivial, in order to trigger more thinking on the different solutions and how/why they work. It remains still another great piece of work by Andrew Ng. Thank you!

By Steve C

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Dec 20, 2020

great course with detailed description of the convolutional network concept with many practical examples. Neural Style Transfer was probably one of my favorite programming exercise for machine learning taken in Coursera. Thanks to the staffs for creating this course!

By Mihai P

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May 29, 2020

This course exceeded my expectations. It is very robust and covers a lot of state of the art topics that are really used nowadays. I'm really excited about the knowledge i've gained from this course because it offered a great value that cannot be measured. Thank you!

By Priya K

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Apr 13, 2020

This course is really amazing. I would highly recommend this course!! It gave me a clear insight into several concepts like Face recognition. The video lectures covered all topics in detail. I would like to thank the instructor for providing such a wonderful course!!

By Leonardo R C

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Jun 1, 2019

This is a very interesting and fun course to take. You put into practice all the knowledge from previous coruses from the specialization and apply them in applications that are changing the world right now. As usual, professor Andrew explains every concept perfectly.

By Harold M

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Nov 18, 2018

The best course by far in this specialization. This course covers all the important topics in Convolutional Neural Networks, face verification and face recognition.

You have to work very hard to complete it. Thus, it's a great challenge!

Thank you Professor Andrew Ng!

By Yoan S

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Oct 5, 2018

These courses are VERY well put together and concentrate excellent concept in little time compared to taking the available Stanford CNN classes online which are verytime consuming for the same result. Andrew is motivating and makes difficult concepts very accessible.