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

創建者 Timothy Q

2020年11月3日

This project is enough to give you a quick overview of how powerful BERT algorithm is. However the instructor barely explained how it works and the course feels very rushed. I don't know if Coursera limits the length of these guided projects to a specific period, but they should definitely consider providing more content on these courses.

創建者 Akshay K P

2020年6月27日

The interface seemed laggy. I had internet connection of 10Mbps. I don't know if it was because of that or because of the OS. There should have been a minimum internet speed requirement if we want to do the hands-on code. Otherwise, the project is good and the instructor taught us well.

創建者 Siddique Z A

2020年8月8日

Nice experience with this course especially while creating the project of sentiment analysis on rhyme environment but the practising session is not much vissible in rhyme because of the size of the window.

創建者 Wira M

2021年2月13日

Good instructor, however anyone join this must have at least a knowledge in basic Python Programming and have learned about BERT and fundamental of Natural Language Processing

創建者 Rajiv K

2020年6月30日

Required detail explanation and faculy support for error soliving and explroing alternative

創建者 Shantanu B

2020年6月5日

Need major improvement with the interactive notebook along with its response time and UI

創建者 Murtuza B

2020年9月25日

Thank you so much for creating this project! Appreciate your time and efforts!

創建者 Nicole G C

2020年7月18日

I didn't like the platform you use. Rhyme, it's not a good tool.

創建者 Ramkumar R

2020年6月5日

Very useful to learn more with deep learning using Bert

創建者 SYED A G S

2020年5月16日

its very helpful and very good

創建者 KRUSHNA P S

2020年5月30日

Awesome Project

創建者 prashant b

2020年9月22日

great

創建者 Ovi S

2020年6月2日

Good

創建者 M M A

2020年7月26日

Ok

創建者 Nikhil C K

2020年6月1日

.

創建者 Rajvardhan P

2021年1月2日

I didn't learn anything new here. This code and explanation is available on the web free of cost.