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Bewertung und Feedback des Lernenden für Introduction to Deep Learning & Neural Networks with Keras von IBM

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984 Bewertungen
196 Bewertungen

Über den Kurs

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-Bewertungen

AB
15. März 2020

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

AM
24. Juni 2020

Good course. It is a very direct approach. It is a basic introduction to keras. Doing the labs is recommended, and also previous knowledge about machine learning is encouraged.

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176 - 197 von 197 Bewertungen für Introduction to Deep Learning & Neural Networks with Keras

von Vhui77@gmail.com

5. März 2021

Not too bad a course and the pace was right.

von Medet M

30. Juli 2020

Seems very easy course. Good for beginners.

von Peter N P B

7. Feb. 2020

a bit easy but well put together material

von UNMILON P

6. Juni 2020

Basic course but best to start for Keras

von Cristina A G

20. Feb. 2020

Clear, easy to follow

von Sarath C G K

22. Apr. 2020

Good Assignments,

von suman k s

13. Mai 2020

Fantastic

von SUSEENDRAN s

3. Jan. 2022

good

von rebwar k

17. Aug. 2021

good

von Vasileios D S

22. Aug. 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.

von Hamza A I

3. März 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 deeplearning.ai

von Tony D

29. Juli 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

von Rogier W

14. Dez. 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.

von Pietro D

3. Jan. 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.

von Somak C

24. Juni 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.

von Jorge R C R

20. Apr. 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.

von Simone P

3. Okt. 2019

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

von Suresh C

5. Nov. 2019

These course is just for Introduction in Neural Network and Keras

von Bhrigu C

1. Nov. 2020

The course does not cover using following concepts with keras - Dropouts, maxpooling, CNN, RNN, padding.

They have been covered in the pytorch course using PyTorch, which is entirely different from how we would use with Keras. It makes this course highly incomplete in terms of examples and assessments and I don't think I have learnt much here. There are way better free courses on youtube by regular data scientists (not from IBM) that include detailed concepts and examples on these left-out important content.

von Xing L

7. Okt. 2020

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

von Jbene M

1. Apr. 2020

Very Basic

von Julio T

8. März 2020

j