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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

RS

Dec 11, 2019

Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

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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1901 - 1925 of 5,610 Reviews for Convolutional Neural Networks

By 介阳阳

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Mar 20, 2019

Excellent teaching! Not access to the assigment yet but already feel so excited!

By AP S ( U

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Feb 4, 2019

Best CNN course. Really builds from the bottom and takes the student to the top.

By Anubhav B (

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Jan 1, 2019

This is one of the best courses on CNNs which is simple yet deeply insightful :)

By Vinoth P

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Oct 30, 2018

Very informative about convolutional neural networks but had lengthy assignments

By Tran T D

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Aug 6, 2018

CNN is a power architecture in ML and computer vision. Very rich course content!

By Sergey G

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Dec 16, 2017

Good introduction, programming assignments help to understand the theory better.

By Rangaraj S

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Dec 10, 2017

This was the hardest and the most fun-filled class of the specialization so far.

By Francesco T

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Nov 13, 2017

Thank you very much Andrew one of the best courses i have ever made in my life !

By Soufiane D

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Aug 14, 2023

Full course about convolutional Neural Networks. It helped me start my project.

By Preeti V

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May 28, 2022

Very Informative course. excercise will give the feel of real time application.

By Serhii B

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Mar 28, 2021

It was a very interesting course! The last two weeks were especially memorable!

By TSUNGYU,CHEN

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Feb 26, 2021

A professional but also easy course!

Very helpful for the beginner to learn CNN.

By Prasad O

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Jan 29, 2021

Course is conducted in really great covering all aspects in so simple languege.

By Nursultan M

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Dec 13, 2020

Very good course to learn the basics of CNN and very good ideas are introduced.

By Pruthviraj S P

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Jul 20, 2020

It is really a very could combination of theory concepts and hands on. Awesome!

By Serge T

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Jun 6, 2020

Brilliant course! I've discovered a whole new world of working with image data.

By Jiani S

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Apr 20, 2020

Very useful! It helps me a lot for my project, which is about face recognition.

By Md F A B

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Apr 7, 2020

Such a complete course to understand every corner cases of Convolutional world

By Piyush K B

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Mar 28, 2020

Great course!! Made everything easy for learning such hard papers and concepts.

By Bharathikannan N (

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Mar 18, 2020

The is very clear and i learned a lot.Thank you for making this awesome course.

By Jacob S

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Feb 8, 2020

Fantastic. This is by far the best way to learn how Convolutional Networks work

By Tarun R

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Feb 6, 2020

Excellent. Very complex concept of CNN and YOLO explained in very simple terms.

By Benoît T

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Nov 4, 2019

Excellent course.

Too bad that we have no time to introduce deconvnets and GANs!

By Anatoly B

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Oct 27, 2019

Great overview of the neural network architectures and a lot of handy examples!

By Kumar S

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Aug 21, 2019

Awsome course for someone who is trying to start with computer vision learning.