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Volver a Convolutional Neural Networks

Convolutional Neural Networks,

18,289 calificaciones
2,346 revisiones

Acerca de este Curso

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization....

Principales revisiones

por AG

Jan 13, 2019

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

por FH

Jan 12, 2019

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

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2,321 revisiones

por Manpreet Minhas

Feb 19, 2019

Splendid course with extremely useful content and exercises. After this course you will definitely be comfortable with CNNs.

por Mukund Ankit

Feb 19, 2019

It was a really good experience. Best course available online. Well structured and well guided assignment. Got to learn a lot. Thank You!

por 锐新华

Feb 19, 2019

very good course

por Shuhao Cao

Feb 18, 2019

Probably too easy for a mathematician.

por Sam Doctor

Feb 18, 2019

One of the most fun courses so far, lots of good examples and workbooks to do. Had a lot of fun with the neural style transfer activity. Made a nice picture of my dog in the style of Picasso!

por Gregory R. Gray Jr.

Feb 18, 2019

Thumbs Up!

por Fady Essam

Feb 18, 2019

there are some mandatory lessons that i feel are unnecessary

por divya prakash pandla

Feb 18, 2019

Dear Instructors,

This is most frustrating course in all of your courses so far. The instructions were completely misguiding the candidates from YOLO implementation onwards. All along you presented the course very well. But when come to most important topics, we had to focus on syntactical errors. But we are supposed to spend time on understanding the algorithms at this level. Dont know why this 180 degrees turn taken by you. If you intentionally designed this course then fine. Otherwise, you should seriously think about rework on the instructions. Few links to hints were taking to some pages in github with just folders.

I am sure , many learners here have such same opinion. I can see this in the forum postings.

From YOLO onwards, you were not giving the big picture of the task. This is confusing. We are lost, where we are heading by the mid of the assignment.

With all due respect to your highly precious time, I request you to enhance the assignment instructions.

All motivation I got from previous course, losing because of this course.

Personally, I feel YOLO easy to understand, but instructions were misguiding and confusing the candidates.

This is my honest feedback, as I very much like this course. I am going forward for the 5th course in this series.

Last but not least. Thank you for making this high quality knowledge made available for public with easy access via Coursera.

por Zian Yang

Feb 18, 2019

The assignment system is horrible for the last homework. Everything else is good.

por David Tian

Feb 17, 2019

This is a very meaty course. Lots of hands on exercise, and the material and techniques taught are very recent. Thank you Andrew!