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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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1051 - 1075 of 5,610 Reviews for Convolutional Neural Networks

By Arnab K C

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May 10, 2020

Everything's pretty good about the course. I wish they used Tensorflow 2 instead of 1 for a better understanding of some programming exercises.

By James H

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Apr 4, 2020

This is the 4th Course in the Deep Learning Specialization I have taken and Dr. Andrew Ng has taught another excellent course on deep learning.

By Nitin B

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Jun 5, 2019

Amazing exercises and wonderfully planned course. The algorithms are described in detail. Recommended for everyone who wants to dive into CNNs.

By Enikeev A

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May 5, 2019

Thnaks for this brilliant course. Also noticed that last assignment has mistake - its compiling forever. Thanks to forum I corrected that issue

By Maximilian B

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Oct 7, 2018

Absolutely amazing introduction to CNNs. Teaching recent technological concepts plus getting the chance to implement/use them myself. 6/5 stars

By Avik S

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Jun 22, 2018

Amazing depth and breadth of the course. Covers key state of art DL architectures, misses out on segmentation topic though. Excellent projects.

By DianaZhao

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May 13, 2018

it is very helpful to make me try the complicated convolutional model with very simple programming work. thanks for Ng's effort in AI education

By deepak n

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Apr 6, 2018

you just changed my life!!, you guys are proving to be a gift to students like us. God bless you all keep contributing and Thank you too much..

By Sudarshan d

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Dec 15, 2017

This course is exceptionally well designed to provide all the insights about CNN and current research in it. Assignments were really fantastic.

By Durant D S A N

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Nov 30, 2017

Andrew Ng est toujours pareil à lui-même : excellent pédagogue et au fait des dernières évolutions dans le domaine! Toujours aussi passionnant!

By Naman B

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Nov 11, 2017

Just Amazing, Cant thank enough to the course content creators ! The most beautiful ipython notebooks I have ever seen ! Thank you once again !

By Younes S

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Jul 4, 2023

Very well detailed and easy to understand. The material covers several topics and the exercises are carefully chosen to practice these topics.

By Pat F

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Jul 18, 2021

This was a very interesting and FUN course. The YOLO and Neural Style Transfer lectures and programming exercises were particularly enjoyable.

By Daniel E P R

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Aug 30, 2020

This course really goes deep into how convolutional neural networks work, the large variety of models and applications in real world problems.

By Martin S

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Jul 24, 2020

Very-well taught, crisp lectures about the main concepts and ideas. Quizzes and programming assignments really help to reinforce the lectures.

By Masood J K

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Jul 3, 2020

Perfect!!! Dr. Andrew and his group are awesome in teaching. I got everything in Convolutional Neural Network from zero to somehow 80 out 100.

By Yudhiesh R

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Jun 28, 2020

Fantastic course loved how we learnt how to apply prominent research papers. Was challenging but very fun especially the Neural Style Art part

By Mehul

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Aug 21, 2019

This was one tough job but still very interesting. Thanks to Andrew Sir and the instructors as well, the discussion forums came in very handy.

By Shakir

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Jul 9, 2019

A great course for learning Convolution Neural Nets. and how to solve Computer Vision problems like Object detection. The lectures are concise

By Claudio C

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Feb 20, 2019

Loved it! It is only shameful how most of the model details are hidden by premade functions it would be nice to train the models from scratch

By Rameez C

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Jul 29, 2018

It would be great if an exercise with transfer learning is added where we get to train the weights of the top layer with our smaller data set.

By Simeon B

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Mar 31, 2018

Overall this course has proved very useful for me. It explains many of CNN's concepts in an illustrated, intuitive and exercise-backed manner.

By Richard L

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Jan 26, 2022

Dr Ng did an awesome job in teaching the concepts of CNNs. I learned a lot and want to go "deeper" into learning more about DL architectures.

By Shubham S

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May 29, 2021

Best Course for developing intuition about convNets , Computer Vision, Object Detection, Face Recognition. Thanks to Instructors and Coursera

By Juan C J

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Feb 4, 2021

Excelent course for getting the fundamentals and practical aspects of Convolutional Neural Networks and Computer Vision. 100% Recommendable!!