Introduction to Deep Learning & Neural Networks with Keras
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. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become “smarter” as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, …
Courses : 7
Specification: Introduction to Deep Learning & Neural Networks with Keras
41 reviews for Introduction to Deep Learning & Neural Networks with Keras
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Lam C V D –
The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.
Suhas S –
It is a good Introduction course on Deep Learning using Keras.
Saman S –
Muhammad L U Z K N –
Super Class course ever I see. Thanks for give such best production.
Amit T –
Details very well covered. I found it very much interesting and well explained.
Simone P –
It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.
GAUTAM K –
Very intractive and benificial course for me .Thank you coursera and IBM for this course
Jay P –
Excellent course that is very well done. Final project was super hard.
Very Good Course to begin, explanations are clear on most of topics
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.
Benhur O J –
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
Oles M –
Fast and constructive
Saeed V –
Nice for start point
Suresh C –
These course is just for Introduction in Neural Network and Keras
Pokala A –
It,s a very good course to get grip on keras and artificial neural networks.
Rose C –
I really enjoyed this course, specially for all the labs and assignments. Thanks much!
Ramiro R A –
Nicely packed in a small course. And the examples are pretty good as well
Farrukh N A –
Good Course on Deep Learning
Andres H –
Excellent i understood the main principles of neural networks and the recomendations were very usefull
Alexander P –
Nice intro into deep learning!
Chuck H –
Really enjoyed the class, felt that the level of challenge was appropriate. Thanks for making this class available!
Jered W –
The final assignment needs to be more user friendly.
Aniket S –
Queries are not getting resolved in the discussion forum. So, instructors should participate in the discussion forum to resolve such queries.
Nidhi S –
Excellent course coverage for beginners..
Pietro D –
The course was very elementary and brief but well organized. Week 4 (supervised and unsupervised models) is definitely too short to grasp the ideas behind the different designs.
PARITOSH P –
Very good course
Theodore G –
Great starter. Could do with more practice labs.
Denis U –
Very good course to start with Neural Networks & Keral lib. Recommend for beginners.
Petr J –
Quite good course on Nerual Networks. I would only welcome even more practical examples with practice coding but I was happy with this setup.
Jochen G –
Nice starter to deep learning
Christopher G –
Very good course giving a simple and concise introduction to deep learning with Keras.
Dohyoung C –
Great Course on how to use Keras for Deep Learning
Esteban H E –
Really good course
Kanishk A –
Very nice course
Vladimir G –
This course is a piece of art. I see how carefully and precise course was build and recorded. Thank you for awesome experience!
Dora M B –
It is a good course that provides a general background of Deep Learning with Keras.
Wei J ( T –
super useful and neat class
Francisco B –
It is a really good course. The labs could have had more for us to do, much of the labs was already implemented. Still, great introduction to the proposed subjects.
Sarbjot S M S D –
said f –