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學生對 Coursera Project Network 提供的 Sentiment Analysis with Deep Learning using BERT 的評價和反饋

4.5
316 個評分
67 條評論

課程概述

In this 2-hour long project, you will learn how to analyze a dataset for sentiment analysis. You will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification. You will learn how to adjust an optimizer and scheduler for ideal training and performance. In fine-tuning this model, you will learn how to design a train and evaluate loop to monitor model performance as it trains, including saving and loading models. Finally, you will build a Sentiment Analysis model that leverages BERT's large-scale language knowledge. 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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FR
2020年10月11日

Clean, clear and helpful. Thanks a lot!\n\nWould also be nice to see the approaches to tune BERT for the particular task (e.g. custom tokenization, pre-processing of data, etc.)

GB
2020年7月27日

Thanks to Mr.Ari Anastassiou\n\nSentiment Analysis with Deep Learning using BERT! is been really a wonderful project .Enjoyed it

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1 - Sentiment Analysis with Deep Learning using BERT 的 25 個評論(共 67 個)

創建者 Mona H

2020年7月18日

He does not explain anything about the logic behind what he is doing. It was as if for an hour and a half I just was typing the same as he did, with not a lot of knowledge about what I was doing.

創建者 Nattapat S

2020年7月28日

Lack of explanation. He just shows how to code but didn't explain anything how each line of code words. The coding website is not easy to use. Noisy sounds like a motorcycle appears in clips.

創建者 MOGAN P K S

2020年5月25日

More explanations on the functions and libraries used will make this project better

創建者 Ganapathy K

2020年7月21日

I really did not like using Rhyme. I preferred to. use the Jupyter notebook like in the other exercises. Also, the instructor made mistakes in the code which was distracting. He also did not explain the intuition and concepts very well. Aspire to teach like Andrew Ng.

創建者 Shanshan W

2020年5月17日

The instructor explains very well on how to using bert to train a sentiment classifier. Very cool project.

創建者 John B

2020年6月13日

I found the course useful. It provides a hands on, working example of a BERT implementation. The finished model can be downloaded and training it for your own purposes would not be too big a leap. A grasp of Python and neural networks is needed.

創建者 Yesica C

2020年9月9日

The course is very informative, basic machine learning concepts are needed, full explication of each line of code. I really liked this project and I will definitely use it at work.

創建者 Ravinder S

2020年5月30日

Ari Anastassiou has done very well to keep is crisp and has taken great care in explaining the implementation. His style is lucid and sincere. I would recommend this short course to anyone who needs an introduction to this heavy concept in a simple and less intimidating manner. Nice work by Ari ! I would love to see a pithy tutorial from him( may be 30 mins) to explain the concepts of BERT as well. This could make it a PERFECT 10 for me. Thank you!

創建者 Tadjou T

2020年6月24日

The project and concepts exposed were good , But more explanations of libraries and comments for some lines of code will be welcome. Despite these, I learned a lot.

創建者 Unnmesh M

2020年6月11日

There could have been more explanation about the libraries and the module 6,7,8 and 9 could have covered more deeply.

創建者 VAIBHAV D

2020年6月7日

I recommend this project to newcomers and freshers in the field of ML.

創建者 Ali A

2020年6月4日

more theory needed. Also some benchmarks can be added to show in which ways Bert outperforms others.

創建者 Vaibhav J

2020年5月30日

Could Have been better

創建者 Matheus S

2020年8月7日

Great instructor! Comments about theory and shortcut commands just on point. After finish the project, you'll have a good foundation, both in code and theory knowledge, to finetune attention models to other specific tasks. Kudos to all the involved!

創建者 Oleksandra P

2020年6月12日

Great course! This was my first time participating in guided projects. The topic is relevant to my job, therefore it was very useful to go through building models using BERT with instructor. I've had issues with rhyme though.

創建者 Federico C

2020年6月16日

The instructor is excellent. Value for money very high. I would recommend in future to offer the code session on Google Colab. The virtual machine is a nice idea, but it is not so convenient as having the code in Colab.

創建者 Fiodar R

2020年10月11日

Clean, clear and helpful. Thanks a lot!

Would also be nice to see the approaches to tune BERT for the particular task (e.g. custom tokenization, pre-processing of data, etc.)

創建者 Grace G N B

2020年7月28日

Thanks to Mr.Ari Anastassiou

Sentiment Analysis with Deep Learning using BERT! is been really a wonderful project .Enjoyed it

創建者 Patil B

2020年9月14日

Very effective course to understand the concept of sentiment analysis using Deep Learning.. Thank you team

創建者 Rezo S

2020年8月12日

That was a very good course. I have learned a lot and I am able to put what I have learned into practice.

創建者 Raden M R W P K A

2021年1月21日

I like this project and help me a lot to understand how to do Sentiment Analysis with BERT Model

創建者 Lukas K S

2020年7月31日

Feeling prepared for future projects. Very easy to follow, great instructor!

創建者 Kyriacos A

2020年11月30日

Very good. Only if it included Inference, then it would have been perfect