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Avis et commentaires pour l'étudiant pour Convolutional Neural Networks par deeplearning.ai

4.9
26,393 notes
3,188 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

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.

RK

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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151 - 175 sur 3,147 Examens pour Convolutional Neural Networks

par Su K

Nov 11, 2018

wonderful course

par Ki H K

Nov 27, 2018

very good!!

par Hendri S W

Nov 28, 2018

A very comprehensive materials on Convolutional Neural Networks!

par Hari K

Nov 27, 2018

Andrew makes the topic interesting and easy to grasp. The assignments are very well written. Great course!

par Satyam N

Nov 13, 2018

Excellent course material. Provides help not in just CNNs but using them for Computer Vision also.

par Gabriel V

Nov 12, 2018

The course requires basic knowledge of neural networks. The course gives very good overview how convolutional NN works, what are the capabilities and even with some hands-on examples the course gives confidentiality to build own projects.

par Yi X C

Nov 12, 2018

Again, amazing content by Andrew Ng. Easy to follow and very practical for time-constraint professionals. Great workbooks as well.

par Carlos H B

Nov 12, 2018

Excellent course.. Andrew and his team know how guide this complex subject to us. Great exercises

par Paul S

Nov 29, 2018

Excellent course. Very good and well structured explanations by Andrew Ng: one concept per video, sometimes a second video to explain why the concept works or to give some intuition. Course covers many of the classis deep learning papers. Highly recommended.

par ohmylilith

Nov 29, 2018

very helpful for someone who have no fondations of coding.

par Karan M

Nov 13, 2018

A very wonderful course! A must for people who want to enter the field of Computer Vision using Deep Learning. Core fundamentals are taught very clearly such that after doing the course, student can venture into the field on his/her own.

par mvpzhao

Nov 14, 2018

Andrew Ng is really good at teaching, thanks!

par Michel d S M

Jan 16, 2019

One my favorite courses on Coursera!

par Anand V S

Jan 17, 2019

The neural style assignment was way too hard though

par Neelakantan M

Jan 16, 2019

Amazing course. It was a little tougher than the earlier courses, but Andrew made it wonderful as usual. Some really practical coding assignments.

par Miguel A C E

Jan 16, 2019

Excelente curso muchas gracias por impartirlo

par Raj

Jan 17, 2019

Most exciting and most challenging of all courses in specialization

par Kirk B

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.

par Denis R

Jan 05, 2019

interesting lectures but coding assignments are boring and far fetched

par Cyril D

Jan 05, 2019

Great!

par Nour A

Jan 07, 2019

The course explains topics I used to consider as "complicated" in a very clear and simple way. The videos and quizzes about theoretical concepts accompanied with programming assignments and extra reading material give solid understanding of the topic, its current trends, and future direction.

par Sinan C

Jan 06, 2019

Outstanding course. Thank's a lot for the great information and effort.

par EL-KADDOURY M

Jan 05, 2019

thanks

par Kevin L

Jan 20, 2019

Useful courses!

par Katherine T

Jan 19, 2019

Great course content. Please resolve some of the technical issues with the projects.