Chevron Left
Volver a Convolutional Neural Networks

Opiniones y comentarios de aprendices correspondientes a Convolutional Neural Networks por parte de

31,992 calificaciones
4,038 revisiones

Acerca del 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


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.

Filtrar por:

3401 - 3425 de 4,000 revisiones para Convolutional Neural Networks

por Nazmus s

Aug 04, 2019

ipython notebook fails often. It was a frustrating experience. There are many bugs to be fixed to run the homework problem submission process smoothly.

por itay k

Dec 21, 2017

A great course! I would have gladly given it 5 stars, but currently, the assignment of week four have bugs and the notebooks tend to stuck or run slow.

por Venkat K

Dec 06, 2017

A bit dense and fast-paced even for Prof Ng's usual standards - this course is drinking from a firehose, but a great hands-on introduction to ConvNets

por Nitish S

Nov 07, 2019

Could have a better explanation of TensorFlow graphs in the assignments. The course is still very good and provides a solid conceptual understanding.

por Frank H

Dec 17, 2017

Very interesting topics were covered in a quite comprehensive way. Only useful packages like Tensorflow and Keras were introduced only superficially.

por Erik P

Nov 27, 2017

Another wonderful course by the team, even with a few bumps this is one of the best introductions to what the heck a convolutional neural network is!

por Pablo M P

Aug 25, 2019

I learnt many interesting ideas about convolutional networks, however, the course needs to be checked by the staff. There are many bugs in the code!

por Jarosław D

May 19, 2018

Programming challenges in this course were less practical than in previous ones, and instructions sometimes a bit vague. Still recommend it, though.

por Ernst H

Aug 05, 2019

Very good course. The assignments are too easy and I would be able to complete them without understanding the course material or what I am coding.

por Nitish K

Apr 21, 2018

Neural Transfer and Object Identification (YOLO) was not explained very well. I had to look out for external videos on Yoututbe to understand YOLO.

por Meriem S

Dec 03, 2017

CNN is not only used for image processing. It can be used in other fields. I hope so we can find other case study than image processing. thank you

por Wu Y

Jan 07, 2019

Week 3 has a bad grading system for the programming assignment. The exact "0" blocked many time, and waste efforts. Otherwise, the course is good.

por Jk L

Dec 17, 2017

It would be better if some gpus were provided, or the experiments of style transfer were a little painful. Anyway, the course itself is wonderful!

por Suchitha L D

May 26, 2020

Good content but the labs should be upgraded to Tensorflow 2. Some quiz questions are bit vague and feedback isn't helpful to understand mistakes

por mahdichalaki

May 26, 2020

Some videos are not carefully edited and there the teacher repeats some sentences.

But overall, the materials and of course Andrew Ng are perfect.

por Arturo M R

Aug 29, 2018

Assignments are not always consolidating acquired knowlegde, due to the distance between implementation from scratch and using predefined models.

por Michalis F

Feb 16, 2018

Very nice course.

assignments are very high level though and just help in giving a taste of convolutional neural networks.

lecture notes are great

por Roberto J

Nov 21, 2017

A bit buggy some of the exercises, some of the videos and some of the course notes, but the material is excellent and the learning is invaluable.

por Galley D

Dec 02, 2017

Amazing course that breaks down the complexity of CNN

Some assignment have issues yet the forum displays significant resources to help solve them

por Akshay K

Oct 30, 2019

The course is complex, it must teach more examples of coding and practice overall the content of this course requires very high level practice.

por Michael B

Mar 27, 2018

I really like the videos, and the content covered. It would be nice if the large blocks of videos were separated by some programming exercises.

por zlb

Jan 12, 2018

The coding assignment is a little hard for people who don't know much about tensorflow and keras. But on the whole, this is a brilliant course.

por Andrey Z

Dec 04, 2017

There is a great course for many people to begin working with the such an enigmatic stuff as cnn! Thank you very much for creating this course!

por Venkata R P

Nov 10, 2019

Wonderful and well-structured course! Following instructions on jupyter notebook is confusing, had to go back and forth to do the assignments.

por Bourget R

Oct 28, 2018

Grading assignments troubles are annoying especially after such a good teaching it is really frustrating. nevertheless it's an amazing course!