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

4.9
stars
42,441 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

JM

Sep 19, 2020

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

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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2001 - 2025 of 5,626 Reviews for Convolutional Neural Networks

By Muhammad U A

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Mar 23, 2018

This is best course in order to learn how constitutional neural network run.

By Cosmin M

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Jan 24, 2018

I've already used some of the learned CNN architectures in a recent project.

By Matt S

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Dec 27, 2017

Such a great course! The most clear illustration for CNN in the whole world!

By Salvador

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Dec 6, 2017

Good as always but had a few problems with the gradings, take it as a 4.5 :)

By Nikita T

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Jun 4, 2023

Great course! Thank you very much for sharing the knowledge with everybody.

By Simbarashe M

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Apr 15, 2023

I highly recommend this course for any who is interested in computer vision

By Ovidiu M

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Sep 5, 2022

Excellent course, I learned so many things about CNN. Thank you, Andrew Ng!

By Reza Y E

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Jan 13, 2022

A Beautifully laid out, comprehensive, worth-your-time and essential course

By Lavanya K A

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Jul 2, 2021

This was one of the toughest courses in this specialization. Enjoyed a lot.

By Emanuel I A P

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May 30, 2021

Very complete and nice course, I would like some pdf text material as well.

By thejas k

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Dec 6, 2020

The basics of convolution layers were explained very beautifully, thankyou!

By Muyeed A

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Aug 31, 2020

Great content. In week 3 (Object detection) had some trouble understanding.

By Carsten K

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Jul 16, 2020

Amazing course, but exercises should be updated to Tensorflow 2 with Keras.

By Divyantha P

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Jul 6, 2020

Probably the best course specialization available online for Deep learning.

By Ranjeet K

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May 10, 2020

Nice course to have a overview of each and everything. Thank you very much.

By Abdoulaye

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May 6, 2020

J'ai appris beaucoup de choses que j'avais pas vu à l'école. Merci Sir Ng.

By Sreenivas M

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Feb 13, 2020

Excellent course yet again. GAN and auto encoders could also be added here.

By Gabriela M L

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Jan 31, 2020

Amazing course as an introduction to the world of CNNs! Thank you Andrew :)

By Shivashankar H

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Oct 31, 2019

One of the best course on Convolution Neural Networks, thank you Andrew Ng.

By Juan S G R

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Jun 24, 2019

It gives you the essentials of modern Deep Learning, I'm very very grateful

By Ayon B

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May 19, 2019

Concepts explained in great depth as compared to those found in most books.

By Sebastian S

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Mar 6, 2019

THe notebooks are sometimes not very intuitive. Overall course really good.

By Carlos A

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Dec 20, 2018

Excelente curso! Muy completo para tener una idea de las cosas que existen.

By Charles

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Jul 22, 2018

Andrew remains one of the best teachers I have ever encountered in my life.

By Ertu S

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Jun 10, 2018

Very well prepared both as course content and graded homework to teach CNNs