Chevron Left
Back to Introduction to Deep Learning & Neural Networks with Keras

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

4.7
stars
1,894 ratings

About the Course

This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with foundational knowledge and practical skills to build and evaluate deep learning models. You’ll begin this course by gaining foundational knowledge of neural networks, including forward and backpropagation, gradient descent, and activation functions. You will explore the challenges of deep network training, such as the vanishing gradient problem, and learn how to overcome them using techniques like careful activation function selection. The hands-on labs in this course allow you to build regression and classification models, dive into advanced architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and autoencoders, and utilize pretrained models for enhanced performance. The course culminates in a final project where you’ll apply what you’ve learned to create a model that classifies images and generates captions. By the end of the course, you’ll be able to design, implement, and evaluate a variety of deep learning models and be prepared to take your next steps in the field of machine learning....

Top reviews

SS

Jun 30, 2020

Such a wonderful and high tech course in the world and it is provided by ibm and coursera.Thank you ibm and coursera for such a opportunity.I'm glad and proud to be a part of this organization.

MP

Jul 1, 2022

Excellent introduction to the mechanics of Neural Networks in general, and the Keras application specifically. Alec is an outstanding teacher, I always appreciate his knowledge and enthusiasm.

Filter by:

326 - 350 of 368 Reviews for Introduction to Deep Learning & Neural Networks with Keras

By Jose D R M

•

May 19, 2024

Interesante curso aunque quizás demasiado básico.

By TJ G

•

Jan 11, 2020

Great starter. Could do with more practice labs.

By Udaykumar A

•

May 9, 2021

Good course which provides practical exposure

By Vincent H

•

Mar 5, 2021

Not too bad a course and the pace was right.

By Medet M

•

Jul 30, 2020

Seems very easy course. Good for beginners.

By Peter N P B

•

Feb 7, 2020

a bit easy but well put together material

By UNMILON P

•

Jun 6, 2020

Basic course but best to start for Keras

By Syed T A S

•

Feb 26, 2024

Great course to kick off as ML Engineer

By Abdelrahman m

•

Apr 5, 2025

it was a cool intro deep learning

By Cristina A G

•

Feb 20, 2020

Clear, easy to follow

By Sarath C G K

•

Apr 23, 2020

Good Assignments,

By Arriouach M

•

May 11, 2024

Great experience

By Rishav R 2

•

Apr 3, 2025

great course

By Surya V

•

Jun 28, 2023

very Good

By Anand M

•

May 7, 2022

Excellent

By Suman k s

•

May 13, 2020

Fantastic

By MOHAMMED N M A S Y B

•

Jul 10, 2025

Good

By Mehnas F N B A R & I 2

•

Jun 30, 2025

cvfd

By Bilal S

•

Jun 13, 2025

good

By Nabeel S

•

May 23, 2025

good

By Saraniya G

•

May 5, 2025

good

By Nithyasree M S 2

•

Mar 8, 2025

good

By SUSEENDRAN s

•

Jan 3, 2022

good

By rebwar k

•

Aug 17, 2021

good

By Jane W

•

Nov 19, 2024

The course content was okay, although not as engaging or thorough as some other courses I have taken. I was really not impressed with the peer-grading for the assignment, though. There is no guarantee that a peer reviewer will have the expertise or will put in the effort to properly grade the assignment. I submitted an assignment with content for all sections and received a grade of 50% because that reviewer said I hadn't submitted content for two sections. I then submitted the exact same assignment, absolutely no changes, and received a grade of 100%. So the assignment grades are meaningless. I much prefer the automated grading for the course I did through DeepLearning.AI.