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Avis et commentaires pour d'étudiants pour Introduction to Deep Learning & Neural Networks with Keras par IBM

4.6
stars
194 évaluations
29 avis

À propos du cours

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....

Meilleurs avis

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 - 25 sur 29 Avis pour Introduction to Deep Learning & Neural Networks with Keras

par 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.

par 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.

par Amit T

Sep 28, 2019

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

par Suhas S

Sep 19, 2019

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

par Saeed V

Oct 16, 2019

Nice for start point

par 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.

par Chuck H

Dec 10, 2019

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

par Andrés H

Dec 02, 2019

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

par GAUTAM K

Oct 03, 2019

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

par Rose C

Nov 10, 2019

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

par Denis U

Jan 16, 2020

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

par Pokala A

Nov 06, 2019

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

par Ramiro R A

Nov 17, 2019

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

par Muhammad L U Z K N

Sep 26, 2019

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

par Nidhi S

Dec 27, 2019

Excellent course coverage for beginners..

par Alexander P

Dec 02, 2019

Nice intro into deep learning!

par Farrukh N A

Nov 18, 2019

Good Course on Deep Learning

par Oles M

Oct 14, 2019

Fast and constructive

par PARITOSH P

Jan 05, 2020

Very good course

par RuoxinLi

Nov 10, 2019

exellent course

par Saman S

Sep 25, 2019

wonderful

par 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

par Jay P

Oct 05, 2019

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

par mallesh

Oct 08, 2019

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

par Jered W

Dec 16, 2019

The final assignment needs to be more user friendly.