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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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1026 - 1050 of 5,600 Reviews for Convolutional Neural Networks

By Tan K S

Mar 24, 2018

Excellent learning notes and explanation.

Improve the understanding on the state-of-the-arts in research and industry community

Strongly recommended

By 张仕超

Jan 28, 2018

Very good lessons! And there are several useful case studies which can help you understand how to use convolutional networks for your own project!

By Jesús U B

Dec 1, 2017

A great course!!! Shows how to implement complex Convolutional neural networks and techniques for image detection, verification, recognition, etc.

By Surjya R

Jul 4, 2020

The thing that sets apart this course is Andrew's explanation. It is intuitive and provides enough background to go deeper on your own if needed.

By Jones M S J

Mar 18, 2018

great course with some simplifications that help. I liked the projects and how the knowledge acquired can be applied the other day on my projects

By Yuichiro H

Feb 25, 2018

Excellent lectures and practices. Systems are also very nice. It helps me to reconstruct knowledge and understanding deeper about CNN. Thank you!

By 冉祥映

Feb 23, 2018

very nice introduction to CNNs and its application to computer vision task, lots of thanks for Professor Andrew and Coursera platform, thank you.

By GNITOU T

Jan 29, 2018

don't know what to stay definitively I prefer to become a lifelong student on coursera rather then being a student at any university in the world

By Ankur D

Jul 11, 2021

Very interesting course covers a lot of aspects of :

1) Object detection

2) Face recognition

Simple and easy explanation with great assignments.

By zain h

Oct 7, 2020

Outstanding course with one of my favorite instructor. Helps a lot in understanding the basic concepts of ConvNets and advance concepts as well.

By ABY P

Jun 30, 2020

cool subject in artificial intelligence, computer vision taught from scratch, discuss lots of cv works based on papers and form scratch learned.

By Vivek G

Jun 4, 2020

Great Course for intro in to CNN's, would have been even better if some unsupervised learning techniques like autoencoders & GAN's were included

By Esther S

May 23, 2020

I had studied about the topic at uni but I have discovered after taking this course that I was more interested in the topic as I thought before!

By Carlos S C V

Apr 23, 2020

Muy bien explicado todo el material y los ejercicios realmente ayudan a entender de manera muy clara como implementar los modelos en la práctica

By Kuan-Wen C

Jan 9, 2020

I love the programming exercises and the well-presented lectures! Andrew is really a good teacher that can simplify the complex concepts of CNN.

By Bhishan P

Jul 27, 2019

This course was a continuation of deep learning courses and is an very important cog in the wheel to learn the complete package of deep leaning.

By Saurabh M

Aug 8, 2018

Assignment for face recognition could be of more depth. Really loved the flow of the course and Neural Style Transfer assignment to be specific.

By Michael S

Jan 18, 2018

Andrew does a great job explaining the basics of ConvNets and their use in computer vision applications. This was a challenging and fun course!

By Nikhilesh R

Dec 21, 2017

A very good introduction to CNNs with an emphasis on implementing current state of the art neural network architectures in Tensorflow and Keras.

By Te Z

Jul 7, 2022

Very nice and intuitive course! Workloads are heavier than previous courses and each assignment notebook is carefully designed and instructive.

By Rajeev R

Jul 12, 2021

Fantastically designed course for any beginner to intermediate level. And Andrew sir's teaching is too good to be appreciated. Just loved it 😊

By Mohammad J “ S

Jun 12, 2021

This course taught wonderful material regarding convolutional neural networks and their widespread applications in solving real-world problems.

By Javier G U Z

Jul 24, 2020

It really helped get involved in a real convolutional neural networks application. Grateful to Andrew Ng for being one of the best AI teachers.

By Arnab K C

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

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.