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Bewertung und Feedback des Lernenden für Building Deep Learning Models with TensorFlow von IBM

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132 Bewertungen

Über den Kurs

The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. Learning Outcomes: After completing this course, learners will be able to: • explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines. • describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. • understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. • apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained....

Top-Bewertungen

ZR

2. Juli 2020

Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!

DO

26. Mai 2020

Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it

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101 - 125 von 136 Bewertungen für Building Deep Learning Models with TensorFlow

von Charles L

23. Jan. 2020

Overall good course but lectures were a bit weak on underlying math, compared to labs which made it a challenging at times to tie the two parts together.

von Gopal I

14. Apr. 2022

One of the better courses in the IBM AI certificate. The notebooks are nicely annotated and have more relevant information than the video lectures.

von Mitchell H

6. Aug. 2020

All the code is TensorFlow1, which is unfortunately completely outdated. Also no assignments or final. But good for the fundamentals of TF.

von Alistair K

11. Juni 2020

Basic level but well explained, useful notebooks, not much on Tensorflow, more on the theory of the networks. Uses outdated Tensorflow v1

von Alexander S

27. Mai 2020

The course is good but you have to change the codes from TF1 to TF2 since is dificult for the learner tranaslate de codes by himself

von I'm M

16. Apr. 2021

I do not consider the practical part to be exactly beginner level, but the theoretical material is very good.

von Jesus S d J

12. Juli 2020

Labs would need to be updated to new versions of Tensorflow

The presentations were clear and concise

von jordi p c

9. Juni 2020

There is a sense to be outdated. Not much activity in the forum, code which is not updated...

von Md S A

1. Feb. 2022

It would be better if the exams are a bit more tough.

The questions are too easy to solve.

von Benhur O

30. Jan. 2020

Too focus in coding but not in the underlying concepts and how to use the libraries.

von Jochen G

8. Feb. 2020

Interesting view on tensor flow, but gap between labs and videos is quite big.

von suman k s

19. Mai 2020

Low explanation.

But in this short duration we can't expect more.

von Giorgio G

25. Juni 2020

Course needs to be updated to Tensorflow 2.0 at least.

von Sanjeev G

10. Mai 2022

we should have more videos and theory also..

von Kabila H S

17. Mai 2020

The tensorflow version is outdated

von Rafi J O

12. Juli 2020

Outdated and not in depth enough.

von Emanuel N

23. Feb. 2021

Falto mas teoria

von Bernardo A P

26. Aug. 2020

No real dataset

von ABOUJAAFAR O

2. Juni 2020

no applications

von Juho H

12. Mai 2020

Disappointing stuff. The videos teach complex stuff like recurrent neural networks (RNNs like LTSM), restricted Boltzmann machines, and autoencoders very quickly - less than 10 minutes per "week" of learning. While the labs are extensive, you don't learn anything as the amount of TensorFlow code is totally intimidating and none of the steps are really explained. You can copy the code, but you won't develop an understanding of it in this course. Not to mention the code is so heavy the Skills Lab times out before the network is trained. Still, if you just want to claim you've done Tensorflow, you can click through the stuff in about 30 minutes per "week" of learning.

von Junsoo P

22. Sep. 2020

The lectures only cover various neural nets and not how to actually implement them on Tensorflow, which should be the gist of the course. Further, the labs are at many places not compatible with the most recent Tensorflow version 2's, and only work for previous Tensorflow version 1's which are quite different. The labs must be re-written for the newest versions given Tensorflow's backward incompatibility.

von Dean E B

26. Apr. 2022

Weakest of the IBM series I took. Problems with labs working. No response from questions on forums. A very shallow presentation of fairly deep subject matter. Very little background or use of TensorFlow.

von Stefan L

4. Juli 2020

This course was very informative and the labs are really well written.... however the code is SEVERELY out of date. It needs to be updated for TensorFlow 2.0, there is simply no excuse at this point

von Farrukh N A

13. Jan. 2020

First of all it was too complex, unlike the course on PyTorch which focused on both Theory + Practical part. It focus only on theory.

von Pakawat N

31. Mai 2020

It is too basic and almost no technical detail about the DNN. It is not good for who have basic knowledge about this before.