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

4.9
stars
42,232 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

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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

YY

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Very exciting courses. Everything explained carefully but easily to understand. Great courses. This course really help me a lot on my journey to learn deeper about deep learning. Thank you very much.

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1476 - 1500 of 5,600 Reviews for Convolutional Neural Networks

By Thomas L

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Jan 8, 2020

Andrew does another great job covering all the topics in detail while keep the topics easy to understand.

By Dhiraj H

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Dec 22, 2019

Andrew is the best, the way the explanation goes is superb. Thanks andrew for putting such a great effort

By Kissita L

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Dec 12, 2019

Very clear courses with some references. I very much like the quizzes and the exercises are also helpful.

By Ankit K S

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Nov 5, 2019

This is an outstanding course on CNN. It covers relevant material from basic level to the advanced level.

By Jeyabalaji S

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Apr 21, 2019

A tough but valuable course that teaches us real world deep learning. Solid basics for Image based AI.

By Amit W

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Oct 13, 2018

Awesome course for those who are interested to break into visual computing. Very well explained concepts.

By Yang Y

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Mar 27, 2018

Andrew really taught well. The analogies he was making, the hm examples all make this class fun to learn.

By Kin G O

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Dec 3, 2017

Awesome content, top quality resources.

It is extremely encouraging to be pointed towards research papers.

By Sameh G

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Nov 6, 2017

Great class with the right balance between concepts, interesting applications and implementation details.

By George Z

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Feb 3, 2021

Very good introduction in CNN, the reference paper is also a guide for who want to learn more about CNN.

By Yaroslav K

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Nov 9, 2020

One of the best courses I've ever taken. Thanks a lot to the teaching staff and especially to Andrew Ng.

By Ankur K B K D

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Aug 17, 2020

Could not be more grateful for this course. Andrew is an inspiration to all the Deep Learning aspirants.

By Srividya K

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Aug 14, 2020

Very good course. Andrew explained each of those concepts in way that ensures full comprehension. Kudos!

By Siba S P

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May 23, 2020

A great introduction to CNNs. Looking forward to more such courses, especially on AI related algorithms.

By Krishanu B

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Dec 22, 2019

The best course on CNN and Computer Vision. The programming assignments are very helpful and insightful.

By Ivaldo T

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Jan 20, 2019

Definitely one of the best course I took at Coursera. It was very nice learning about the Keras library.

By Memo R

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Jan 15, 2019

I can't praise this course high enough!. The way the research papers are explained is simply phenomenal!

By Behrad B

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Aug 15, 2018

Very well organized course. Highly recommended even if you have already had some experience in the field

By Fengna W

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Dec 15, 2017

Clear explanation and up to date application scenarios, really thanks for providing such a great course!

By Nilesh I

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Nov 26, 2017

Amazing course. The course assigments give hands on experience in object detection and face recognition.

By Ali L

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Nov 22, 2017

It was a great review, also learned many new things! I look forward to the RNN, LSTM and seq2seq course!

By Eric C

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Nov 21, 2017

Very cool overview of different kinds of conv nets. Lots of knowledge packed into a tiny amount of time!

By SASIKANTH K

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Nov 19, 2017

Lot of good information. Highly recommend this for students trying to learn about CNNs in deep learning.

By Ishaan G

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Jul 15, 2024

Prof. Andrew Ng is the best at explaining these complex concepts so easily. Really enjoyed this course.

By Afsar k

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Aug 6, 2021

Great To have a such a wonderful time with such a delightful personality, Thank you sir for every thing