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學生對 IBM 提供的 Introduction to Deep Learning & Neural Networks with Keras 的評價和反饋

4.6
stars
186 個評分
28 條評論

課程概述

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library. After completing this course, learners will be able to: • describe what a neural network is, what a deep learning model is, and the difference between them. • demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • build deep learning models and networks using the Keras library....

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LD

Sep 08, 2019

The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.

CH

Dec 10, 2019

Really enjoyed the class, felt that the level of challenge was appropriate. Thanks for making this class available!

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1 - Introduction to Deep Learning & Neural Networks with Keras 的 25 個評論(共 29 個)

創建者 deepthi

Oct 09, 2019

Loved the way the instructor has clearly set the expectations of the scope and breadth of coverage of topics in this course. However, if the course was a bit more deeper into intermediate level concepts, it would have given me more confidence to face interviews. Nevertheless, I would love to learn more from this instructor as he kept me motivated (and not bored) all through the course from start to the end.

創建者 Lam C V D

Sep 08, 2019

The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.

創建者 Amit T

Sep 28, 2019

Details very well covered. I found it very much interesting and well explained.

創建者 Suhas S

Sep 19, 2019

It is a good Introduction course on Deep Learning using Keras.

創建者 Saeed V

Oct 16, 2019

Nice for start point

創建者 Aniket S

Dec 16, 2019

Queries are not getting resolved in the discussion forum. So, instructors should participate in the discussion forum to resolve such queries.

創建者 Chuck H

Dec 10, 2019

Really enjoyed the class, felt that the level of challenge was appropriate. Thanks for making this class available!

創建者 Andrés H

Dec 02, 2019

Excellent i understood the main principles of neural networks and the recomendations were very usefull

創建者 GAUTAM K

Oct 03, 2019

Very intractive and benificial course for me .Thank you coursera and IBM for this course

創建者 Rose C

Nov 10, 2019

I really enjoyed this course, specially for all the labs and assignments. Thanks much!

創建者 Denis U

Jan 16, 2020

Very good course to start with Neural Networks & Keral lib. Recommend for beginners.

創建者 Pokala A

Nov 06, 2019

It,s a very good course to get grip on keras and artificial neural networks.

創建者 Ramiro R A

Nov 17, 2019

Nicely packed in a small course. And the examples are pretty good as well

創建者 Muhammad L U Z K N

Sep 26, 2019

Super Class course ever I see. Thanks for give such best production.

創建者 Nidhi S

Dec 27, 2019

Excellent course coverage for beginners..

創建者 Alexander P

Dec 02, 2019

Nice intro into deep learning!

創建者 Farrukh N A

Nov 18, 2019

Good Course on Deep Learning

創建者 Oles M

Oct 14, 2019

Fast and constructive

創建者 PARITOSH P

Jan 05, 2020

Very good course

創建者 RuoxinLi

Nov 10, 2019

exellent course

創建者 Saman S

Sep 25, 2019

wonderful

創建者 Benhur O J

Oct 10, 2019

Good practical examples for ANN. It could be improved the theoretical part and compare better the architecture of the networks with the algorithms and code for Keras

創建者 Jay P

Oct 05, 2019

Excellent course that is very well done. Final project was super hard.

創建者 mallesh

Oct 08, 2019

Very Good Course to begin, explanations are clear on most of topics

創建者 Jered W

Dec 16, 2019

The final assignment needs to be more user friendly.