Chevron Left
Volver a Introduction to Deep Learning & Neural Networks with Keras

Opiniones y comentarios de aprendices correspondientes a Introduction to Deep Learning & Neural Networks with Keras por parte de Habilidades en redes de IBM

1,103 calificaciones

Acerca del Curso

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....

Principales reseñas


30 de jun. de 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.


15 de mar. de 2020

Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.

Filtrar por:

201 - 225 de 225 revisiones para Introduction to Deep Learning & Neural Networks with Keras

por Medet M

30 de jul. de 2020

Seems very easy course. Good for beginners.

por Peter N P B

7 de feb. de 2020

a bit easy but well put together material


6 de jun. de 2020

Basic course but best to start for Keras

por Cristina A G

20 de feb. de 2020

Clear, easy to follow

por Sarath C G K

22 de abr. de 2020

Good Assignments,


7 de may. de 2022


por suman k s

13 de may. de 2020



3 de ene. de 2022


por rebwar k

17 de ago. de 2021


por Xinyue Z

7 de feb. de 2022

The content is for new comer of tf.keras OK.

When you have been in this area for a long time but still want to finish the whole specilization, pls go ahead and finish the final exam directly.

The week 2 of describing the back propagation is pretty nice, not too much detail but somehow it is using an example which is even clear at some points comparing to Prof.Ng 's course, however, wont let them competet each other

por Gopal I

11 de mar. de 2022

The course materials need to be updated to clearly show how to get to the labs. The video talks of one way but the real method is different. Although one is supposed to use the IBM Labs the staff gives direction to use google colabs. I downloaded the files to local machine and discovered the dependencies by accident.

One should not expect to learn much about Keras here. It is a basic introduction to DL and NN.

por Vasileios D S

22 de ago. de 2021

This course is too shallow in terms of content and too light in terms of workload, it can only serve as a stepping stone towards a more advanced course. It does accomplish its stated goal of offering an introduction to many Deep Learning concepts and Keras, but nothing beyond that.

por Hamza A I

3 de mar. de 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

por Tony D

29 de jul. de 2020

Very light. The current material requires much less time to finish than annoucned at the beginning of the course. The teacher could have hence taken some time to go more into details, even though it's an introduction course

por Rubel M

12 de feb. de 2022

The course should have discuss either deeplearning or keras library more deeply. As it is not discussed, at least other resources or courses should be mentioned for interesting strudent who is prone to advanced learning.

por Rogier W

14 de dic. de 2020

Course is too easy... And some guy copied my work for the final assignment after he reviewed it. IMO it should not be possible to review someone else's work, when you haven't passed the course yourself yet.

por Pietro D

3 de ene. de 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.

por Somak C

24 de jun. de 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.

por Jorge R C R

20 de abr. de 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.

por Simone P

3 de oct. de 2019

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

por Suresh C

5 de nov. de 2019

These course is just for Introduction in Neural Network and Keras

por Xing L

7 de oct. de 2020

Too basic and simple, especially for the different popular models. Not as good as I expected.

por Jbene M

1 de abr. de 2020

Very Basic

por Biswarup D

31 de ene. de 2022


por Julio T

8 de mar. de 2020