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Avis et commentaires pour d'étudiants pour Convolutional Neural Networks par deeplearning.ai

4.9
étoiles
35,967 évaluations
4,637 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

AR

Jul 12, 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

RS

Dec 12, 2019

Great Course Overall\n\nOne 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.

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4401 - 4425 sur 4,592 Avis pour Convolutional Neural Networks

par Amit A

Sep 02, 2020

Andrew Sir explanation is awesome, but please do explain concepts in videos also, as some programming assignments contain data, info that we are not having knowledge

par Sebastien M

Aug 01, 2018

I spend 1 week on the last assignment due of one bug. I am disappointed but the content of the course was good. Please next time react faster for correcting bugs

par Stanislav C

Jan 29, 2018

Grader in the last assignment is wrong. It has been reported in the discussion forums several months ago and still hasn't been. Apart from that, great content

par Jesus A F

Jan 20, 2018

The course gives you a good introduction to NN. However, the grading is buggy, and the content rather superficial. It gives you a false sense of achievement.

par Stefan M

Jun 14, 2019

The homework assignments, compared to the other courses, where pretty low in quality. If these errors get corrected, I'd happily give this course 5/5 stars.

par Uddhav D

Jun 07, 2019

Some issues regarding the submission of assignments and some minute mistake in the videos and assignment. Although great teaching by Andrew as always :)

par Karol K

Dec 03, 2017

Issue with triplet loss function shouldn't happen. I had to remove "axis = -1" in order to pass grader even though function had produced wrong answer!!!

par Dmitry

Nov 30, 2017

There are a lot of issues with programming assignments grader (I've spent one hour to complete assignment and two days to make a grader to get it)

par Roel H

Jun 22, 2018

The programming assignments contain bugs. Also the jupyter notebook kept on shutting down thus slowing down the learning process quite a bit :-(

par Kalana A

Jan 25, 2019

Certain Parts are not that much clear. Specially like in the triplet loss function, until the coding was done the real procedure was not clear.

par Kanishka D

Dec 27, 2017

the assignment setup and graders are not updated after reporting issues several times which caused a great deal of frustration among students.

par Felix P

Nov 20, 2017

The last exercise it was a litle annoyng, it took me almost five days to figure out how to solve the face recognition because a grader fault.

par Serkan Ö

Jun 10, 2018

There were repeats in the videos🤔 Also the answers to quizzes are not visible. If these would have existed, 5 stars would be reasonable.

par Rüveyda K

Mar 17, 2018

Sometimes it was very difficult to understand lecturer because of his accent, but apart from that, assignments and lessons were helpful

par Stephen D

Mar 17, 2018

This course is pretty good. Some things are not explained as well as Prof. Ng typically explains things, especially in the last week.

par Carol S

Jul 19, 2020

The Neural Style Transfer notebook seems to have makes it difficult in the last panel to access the generated_image global variable.

par Jkernec

Jan 12, 2018

The assignments need to be reworked as they are quite confusing and the grading system is flawed especially for the last assignment.

par Jnana R D

Mar 13, 2019

More simple lectures with illustrations required and also graders need to fixed. Had a lot of time wasted because of buggy graders

par VORA N

Jun 11, 2020

It has very less explanation about working of back propagation of convolution network,

plus it can explain YOLO in much better way

par Aoun L

May 29, 2018

The course is great but the assessments and grading is terrible, so many particularities and repetition that does not make sense.

par Sudhanshu D

Apr 09, 2018

Week 3, exercise 2 is very buggy. Couldn't have completed it without the discussion forum. Kindly fix it for the future learners

par Ankit R

Oct 07, 2019

Found it really difficult to submit programming assignments, at times the jupyter notebooks were not at all responsive.....

par Gowdhaman S

Apr 22, 2018

Course content was good but lack with hands-on projects. It would be really helpful if the team could add capstone project.

par vishwanathan r

Nov 16, 2017

There should be a way through which folks can download the entire zipped contents of the programming and also the lessons.

par Carmine M

Apr 12, 2018

Very interesting and with high quality material. It could be improved by adding more tutorials about the frameworks used.