Chevron Left
Retour à Convolutional Neural Networks

Convolutional Neural Networks,

18,183 notes
2,339 avis

À propos de ce 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

par 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.

par EB

Nov 03, 2017

Wonderful course. Covers a wide array of immediately appealing subjects: from object detection to face recognition to neural style transfer, intuitively motivate relevant models like YOLO and ResNet.

Filtrer par :

2,312 avis

par Shi Yihui

Feb 16, 2019


par Krzysztof Waściński

Feb 15, 2019

Great course, however the programming assignments could be a bit harder ;)

par Guillermo Florez

Feb 15, 2019

Excellent course, thank you!

par xuezhibo

Feb 15, 2019

Best CNN course I ever seen!

par Sarfaraz Khan

Feb 15, 2019

Its an absolute gem of a course. Great explanation of state of the art CNN architectures in a very simplistic way. Loved every bit of it and learned a ton more. This course is a must do for anyone from beginners to advanced.

par Gilvandro Farias de Miranda Neto

Feb 14, 2019


par David Hood

Feb 14, 2019

Another excellent course led by Andrew Ng. It neatly builds on the previous three and, again, strikes an excellent balance of difficulty and gentle encouragement.

par Yingyu Fu

Feb 14, 2019

Hope to have more coding demo...

par James A Winkelmann Jr

Feb 13, 2019

Some of the coding assignments had major issues that need to be fixed.

par Xinwei Bai

Feb 13, 2019

When I am doing the programming assignments, I felt that some part were quite difficult since I had no background in neither Keras nor Tensorflow. It was helpful that in one of the previous courses there was a tutorial for the basics of Tensorflow. But for Keras I felt that there is a gap between what I have and what is needed for the assignment. So I would suggest a more thorough tutorial for Keras. Maybe several short tutorials talking about the implementations and ideas of Tensorflow & Keras may help a lot.