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Avis et commentaires pour l'étudiant pour Convolutional Neural Networks par

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3,069 avis

À propos du cours

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....

Meilleurs avis


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.


Sep 02, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

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76 - 100 sur 3,034 Examens pour Convolutional Neural Networks

par Nishant S

Jan 09, 2019

Great course. Andrew is the best teacher ever!

par Gautam D

Jan 11, 2019

Wonderfully explained! Andrew and team have been kind enough to provide all the important papers and documentation required too. Very well laid out course. Can't wait to finish the 5th and final course! Thanks team

par Ventsislav Y

Jan 08, 2019

Awesome course. Andrew Ng is an excellent lecturer! I like the content, the explanations and the references in the course. Highly recommend this course to everyone!

par Daniel A P C

Dec 25, 2018

this course is an excellent introduction to artificial vision, Even though I had a lot of problems with the jupyter notebook in the programing assignments, I learned a lot from this course

par Yusri D H

Dec 27, 2018

I feel so lucky to join this course


Dec 28, 2018

Great course and great methodology, I've learned a lot. Thanks Andrew and collaborators. You are a great team.

par Shebin S

Dec 26, 2018

Briliant course !!!

par dmitry p

Dec 27, 2018

great explanation and tutorials


Dec 26, 2018


par Ravi P

Dec 28, 2018

Great course

par Octavian S

Dec 28, 2018

Excellent course.

par 施林锋

Dec 29, 2018

Really hopeful

par Alejandro R

Dec 28, 2018

Thank you so much, guys. This course has opened many major areas of deep learning where to continue my career.

par Ashutosh S

Jan 12, 2019

Excellent course material !

par Jeffrey V V

Jan 15, 2019

I learned a lot about the current state of the art convolutional networks.

par Lokesh B

Jan 15, 2019

great course

par Yunfeng B

Jan 13, 2019

It feels great to experience some state-of-the-art models and understand their essential innovative ideas.

par Timothy

Jan 14, 2019

Felt like I learned a lot about CNN. Perfect for introductory class I think. Applications include facial recognition/one shot learning. style transfer(my personal favorite) and object recognition/bounding box determination. I feel like it's perfect for me, having no previous experience with CNN(although convolutions in general are quite familiar to me). This is definitely for those with no previous experience with CNN or just small/moderate amount of it. You code up all the components necessary for CNN forward prop and a few pieces of the back prop to get an idea of what involved. After this the projects are in TensorFlow. I have no previous experience in TensorFlow but was able to do the exercises without to much difficulty. That said, reading some supplementary tensor flow materials would probably be helpful as I'm still a little hazy on it.

par 李紹弘

Jan 14, 2019

Excellent course!

par Alfonso R

Jan 14, 2019

Very Good!

par Ashish s

Jan 14, 2019

Must do course for deep learners !!

par Lucas G S P

Jan 14, 2019

The most challenging and mind blowing course of Andrew Ng.


Jan 14, 2019

Good Course

par Guillermo R

Jan 15, 2019

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

par Shish P

Jan 02, 2019

Well organized and Conceptual course.