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Convolutional Neural Networks, deeplearning.ai

4.8
16,200 calificaciones
2,132 revisiones

Acerca de este 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

por 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.

por 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.

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2,104 revisiones

por 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

por 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!

por Rebeen Ali Hamad

Dec 09, 2018

Thank you very much

por Prabhat Kumar Mishra

Dec 09, 2018

Just Amazing!!!

por Xin Yang

Dec 09, 2018

the IOU function is tough....

por Fahad Ali Shahjahan Shaikh

Dec 07, 2018

Excellent course

por 罗炜儒

Dec 07, 2018

讲解卷积神经网络的知识详尽而到位,课后练习能较好的巩固课上所学习的知识,尤其是最后的人脸识别和风格转换作业十分有趣!美中不足的地方在于YOLO算法的课后作业并没有帮助我更好的理解该算法,以致于我现在还对物体识别之类的算法一知半解。

por KUNIHIRO OSHIMA

Dec 06, 2018

More! more!!!

por Pedro Manuel Herrero Vidal

Dec 06, 2018

Beautiful depiction of convolutional neural networks: from the basic concepts, to their application in the context of computer vision. Great theoretical framework and application through thoughtful assignments.

por 郑帅帅

Dec 06, 2018

That's amazing!