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.
Informações sobre o curso
Aprox. 9 horas para completar
Aprox. 9 horas para completar
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, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
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Principais avaliações do INTRODUCTION TO DEEP LEARNING & NEURAL NETWORKS WITH KERAS
Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.
It is a really good course.\n\nThe labs could have had more for us to do, much of the labs was already implemented.\n\nStill, great introduction to the proposed subjects.
A good course. Could be better if it was explained how to select the optimal number of layers and nodes. This was not covered and explained anywhere. Overall it was good.
Best suited for beginner in Deep learning with Keras. Good content, hands on experience with Jupiter notebook with IBM Developer tool. Worked Exercise code for CNN & RNN.
try to add more case study problems and solve it on lectures so that we can understand how to start (initialize) the coding part when we receive any real world problem.
I took this course for understanding the TensorFlow properly. Now I am in the situation to understand all the frameworks. Thanks a lot for providing me this free course
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
Queries are not getting resolved in the discussion forum. So, instructors should participate in the discussion forum to resolve such queries.
This course is a piece of art. I see how carefully and precise course was build and recorded. Thank you for awesome experience!
This course was great because first it covered theory then goes to code. And the algorithms are taught by the teacher so well.
The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.
Really enjoyed the class, felt that the level of challenge was appropriate. Thanks for making this class available!
The course contents and labs are very informative and explains the basic concepts throughly.
Very intractive and benificial course for me .Thank you coursera and IBM for this course
I really enjoyed this course, specially for all the labs and assignments. Thanks much!
Very good course to start with Neural Networks & Keral lib. Recommend for beginners.
Details very well covered. I found it very much interesting and well explained.
It,s a very good course to get grip on keras and artificial neural networks.
Excellent course that is very well done. Final project was super hard.
Super Class course ever I see. Thanks for give such best production.
Sobre Certificado Profissional IBM AI Engineering
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