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Overall Score : 92 / 100

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Course Description

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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Instructor Details

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Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach. Alex received his Ph.D. in medical Engineering from the University of Toronto.

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Reviews

4.6

17 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

By RuoxinLi on 10-Nov-19

exellent course

By Rose C on 10-Nov-19

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

By Pokala A on 6-Nov-19

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

By Suresh C on 5-Nov-19

These course is just for Introduction in Neural Network and Keras

By Saeed V on 16-Oct-19

Nice for start point

By Oles M on 14-Oct-19

Fast and constructive

By Benhur O J on 10-Oct-19

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

By deepthi on 9-Oct-19

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.

By mallesh on 8-Oct-19

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

By Jay P on 5-Oct-19

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

By Simone P on 3-Oct-19

It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.

By GAUTAM K on 3-Oct-19

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

Showing 12 of 17 reviews