Chevron Left
返回到 Convolutional Neural Networks

Convolutional Neural Networks,

16,252 个评分
2,133 个审阅


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....


创建者 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.

创建者 DG

Feb 14, 2018

Too much hand-holding during assignments, although still very good directions. Obviously the issue with the final programming assignment needs to be addressed. Fantastic lecture material, as always.


2,110 个审阅

创建者 Samchuk Dmytro

Dec 13, 2018

Great explanatory course about the idea of convolutions.

Theory is extremely fine as always! Esp nice to hear about one-shot learning technique and triplet-loss "family"

For the practical things, i'd like to say that it was ~ 3/5. Valuable example would be an assignment of week 4 about making a neural style transfer. Although i passed all 4 graded functions, i ended up with non-working neural net. I mean a lot was uncovered with grader

创建者 Sarvesh dubey

Dec 13, 2018

I found it great

创建者 Bhaskar Deka

Dec 13, 2018

Excellent course. Among all the courses in the specialization, found this one to be hardest (personal view). Great support in discussion forums from the tutors.

创建者 Alec Robinson

Dec 13, 2018

This course has exceptionally clearly laid out and easy to follow descriptions of all the major CNN algorithms

创建者 Justin Krogue

Dec 12, 2018

Phenomenal course that gets you up to speed quickly understanding CNNs including being able to read the literature

创建者 Alexander Trinkl

Dec 12, 2018

Great course to get insights about ConvNets and learn how they work.

创建者 Brandon Crosbie

Dec 10, 2018

If you are not yet familiar with Tensorflow, the programming assignments are much more tedious than necessary. However, the explanations of the theory are quite helpful in visualizing convolution

创建者 Buddhiprabha Erabadda

Dec 09, 2018

Another great course by Andrew! The course is very interesting and Andrew takes every effort to make things clear to the students. Thank you for the wonderful course!

创建者 Rebeen Ali Hamad

Dec 09, 2018

Thank you very much

创建者 Prabhat Kumar Mishra

Dec 09, 2018

Just Amazing!!!