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Convolutional Neural Networks,

Оценки: 18,424
Рецензии: 2,360

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: FH

Jan 12, 2019

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

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Рецензии: 2,329

автор: TanBui

Feb 23, 2019

Very good indication of CNN. However, some of the assignment materials such as Keras needs prior experience which are not presented in the course.

автор: Ayush Shukla

Feb 22, 2019

Course is great although their are some glitches in assignments.

автор: Vidit Goyal

Feb 22, 2019

very helpful

автор: Sharath Golluri

Feb 21, 2019

Made my concepts clear on Computervision.

автор: Claudio Coppola

Feb 20, 2019

Loved it! It is only shameful how most of the model details are hidden by premade functions it would be nice to train the models from scratch

автор: Zifei Shan

Feb 20, 2019

Very clear lectures and hands-on experience to gain lots of experience with CV problems and cutting-edge models. I'm an NLP engineer and this course gives a great intro to DL for CV. IMHO it's one of the greatest course in the series.

автор: Somex Kumar Gupta

Feb 20, 2019

this course help me to understand how ConvNet works and how can we implement it in various ways.

автор: Qasid Saleem

Feb 20, 2019

Great Course!!!

автор: Manpreet Minhas

Feb 19, 2019

Splendid course with extremely useful content and exercises. After this course you will definitely be comfortable with CNNs.

автор: Mukund Ankit

Feb 19, 2019

It was a really good experience. Best course available online. Well structured and well guided assignment. Got to learn a lot. Thank You!