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Вернуться к Basic Artificial Neural Networks in Python

Отзывы учащихся о курсе Basic Artificial Neural Networks in Python от партнера Coursera Project Network

4.1
звезд
Оценки: 155
Рецензии: 22

О курсе

In this 1-hour long project-based course, you will learn basic principles of how Artificial Neural Networks (ANNs) work, and how this can be implemented in Python. Together, we will explore basic Python implementations of feed-forward propagation, back propagation using gradient descent, sigmoidal activation functions, and epoch training, all in the context of building a basic ANN from scratch. All of this will be done on Ubuntu Linux, but can be accomplished using any Python I.D.E. on any operating system. We will be using the IDLE development environment to write a single script to code our simple ANN. We will avoid using advanced frameworks such as Tensorflow or Pytorch, for educational purposes. Note that the resulting ANN we build will be use-case agnostic and be provided with dummy inputs. Hence, while the ANN we build and train today may appear to be a useless demonstration, it can easily be adapted to any type of use case if given proper, meaningful inputs. I would encourage learners to experiment- How easy is it to add more layers without using frameworks like Tensorflow? What if we add more nodes? What limitations do we come across? The learner is highly encouraged to experiment beyond the scope of the course. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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1–22 из 22 отзывов о курсе Basic Artificial Neural Networks in Python

автор: Erwin

22 июля 2020 г.

This is not correct to charge 10 dollars for a course like this. There are python libraries used (e.g. for creating the dataset) without any explanation. There are derivatives of a sigmoid function and the only explanation was "use of the chain rule of derivatives", but this is not explaining how one can get from the initial function to the derivative. And this is only an example of the things not well explained. There are some good things in the course (like typing everything in on-the-fly and explaining what to do), but the hardest part (like implementing the backwards propagation) goes really fast. I think too much time for the easy part and too fast on the most difficult part. I'm not saying that this course should be for free, but 10 dollars is too much for this content. There are courses on the same topic for free that are coming close to this one. I expected more quality screening from Coursera (although I had some other courses from Coursera that were really ok).

автор: llwen

19 июля 2020 г.

the python code written by the teacher is not quite right and has several errors, I don't knonw how he got the result in his computer.

автор: Naman J

3 сент. 2020 г.

Very Low level project,

Gives a very bad intuition and not Worth the Money

автор: Deise O

15 авг. 2020 г.

Finalizei o curso, mas achei que foi muito curto.

автор: D.V.N. A

21 июля 2020 г.

It is an excellent project and is an amazing way of testing the old concepts and applying them in a new way.

автор: Charles I N I

16 февр. 2021 г.

Basic explanations for beginners. Great course!

автор: ryan k

21 нояб. 2020 г.

great quick intro course straight to the point

автор: Kevin O

31 авг. 2021 г.

Awesome, describes it all

автор: Ashwin K

31 авг. 2020 г.

A great project

автор: Marcus L P

21 нояб. 2020 г.

Excellent!!

автор: Carlos M C F

26 авг. 2020 г.

thank you

автор: Aracatla s

14 авг. 2020 г.

Very good

автор: Abba

25 июля 2020 г.

Fantastic

автор: Gaurav G

1 июля 2020 г.

awesome

автор: Mr. S W

13 авг. 2020 г.

Thanks

автор: Prasanth k k

16 авг. 2020 г.

Good

автор: PARTHA S

31 июля 2020 г.

Good

автор: Gaureesh C

3 сент. 2020 г.

The Virtual machine reloads quite often which gets very irritating, the project is great besides that.

автор: Eric S

15 мар. 2021 г.

The content might have been good but the interactive panel kept closing on me, making it difficult to follow allow. There were also consuming discrepancies in the video edits that should be cleaned up.

автор: Viktor M

31 авг. 2021 г.

Totally useless. The instructor just talking to himself not explaining neither what is the goal of the project nor the way to achieve that. For you to understand - the result of "the project" is just a stream of numbers without any explanation of what they mean.

Hey, you've just created the "neural network". Hurray! See, how beautiful these numbers are?

автор: Darshan D T

6 нояб. 2020 г.

The explanation was terrible, lazy coding, instructor could have used better variable names instead of adding comments at last and try to cover up things. Totally not satisfied with the ease to follow the guided project. This course needs a lot of changes.

I do not recommend this course to anyone.

автор: Bhuwan G

5 нояб. 2020 г.

Very bad experience.