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Learner Reviews & Feedback for Introduction to Deep Learning & Neural Networks with Keras by IBM

625 ratings
119 reviews

About the Course

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....

Top reviews


Mar 25, 2020

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.


Feb 20, 2020

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.

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101 - 119 of 119 Reviews for Introduction to Deep Learning & Neural Networks with Keras

By mallesh

Oct 08, 2019

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

By Vishwanathan C

Apr 14, 2020

Very nice and concise introduction to Keras and Deep Learning.

By Vijander S

Apr 05, 2020

some interdisciplinary data set examples should be included

By jagadeesh k

Apr 27, 2020

excellent course and but need some advanced content

By Theodore G

Jan 11, 2020

Great starter. Could do with more practice labs.

By Peter N P B

Feb 07, 2020

a bit easy but well put together material


Jun 06, 2020

Basic course but best to start for Keras

By Cristina A G

Feb 20, 2020

Clear, easy to follow

By Sarath C G K

Apr 23, 2020

Good Assignments,

By Suman k s

May 13, 2020


By Hamza A I

Mar 03, 2020

The course content is very brief not much for getting a better understanding of topics. It can be a good starting course for someone but if you are interested in getting details of topics I recommend taking the courses of

By Pietro D

Jan 03, 2020

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.

By Somak C

Jun 25, 2020

The topic explanations are pretty rushed for beginners. The assignment has been unnecessarily added with lots of iterations that created issues with debugging and testing.

By Jorge R C R

Apr 20, 2020

Good introductory course, just scratches the surface. What I did not like is that the instructor just reads the content for you. Could be improved.

By Simone P

Oct 03, 2019

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

By Suresh C

Nov 05, 2019

These course is just for Introduction in Neural Network and Keras


Apr 19, 2020

The course is OK in the overall. But it has two main drawbacks from my point of view:

1) The final assignments asks for solving the task making use of routines NOT shown along the course: i.e. it's shown in the labs to solve issues in a way, and in the assignment it has to be done in a different one.

2) It was IMPOSSIBLE for me to get feedback from the Staff at any question. I ended up solving the issues by my own and through try and error, which is fine from a self-study approach, but when it comes to technical issues, it can get quite complicated...

By jbene m

Apr 01, 2020

Very Basic

By Julio T

Mar 09, 2020