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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
313 個評分
66 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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26 - Sentiment Analysis with Deep Learning using BERT 的 50 個評論(共 66 個)

創建者 Mounika G

2020年9月6日

This course is really helpful. Learnt new things in this project.

創建者 M S S

2020年8月11日

It was good learning experience... Thanks to coursera :)

創建者 Ruslan T

2020年7月19日

Cool tutorial. It's more clear now how to work with BERT

創建者 Павел Х

2020年11月18日

Excellent course. Everything you need for the baseline.

創建者 Senthil V V

2020年7月24日

Thankyou, really a great course under great instructor.

創建者 amalia m

2020年7月29日

very clear explanation.. it easy to follow

創建者 Dr. P W

2020年5月31日

Good course using BERT technique

創建者 Raghubir B

2020年6月10日

Great Starting course on BERT.

創建者 AMIT K S

2020年5月31日

Fun and knowledgeable Course

創建者 Deepti B

2020年11月24日

very brief and to the point

創建者 Ronny F

2020年8月9日

thanks for the learning

創建者 Shubham K

2020年9月19日

Great course

創建者 Mario A C S

2020年9月18日

Good project

創建者 RITHEESH V V

2020年7月17日

Excellent

創建者 SASI V T

2020年7月12日

EXCELLENT

創建者 Rishabh R

2020年5月6日

Excellent

創建者 Jaipal

2020年6月28日

awesome

創建者 Luis M R C

2020年9月8日

Great

創建者 Maria B J A M - O

2020年7月31日

Great

創建者 PAVITHRA B

2020年9月24日

GOOD

創建者 k j

2020年7月1日

good

創建者 Vajinepalli s s

2020年6月16日

nice

創建者 tale p

2020年6月16日

good

創建者 Yen S L

2020年9月12日

Content is ok but wish he explained more. I rather there by less typing and more explaining. I found myself having to pause the video a lot to look up code syntax lest it becomes a typing exercise. The Rhyme platform for assignments is nice in concept (side by side notebooks) but is barely usable in practice. Typing was laggy and it won't allow cut and paste which is really silly given how much code is over copied to be modified (e.g. train vs validation). I dislike Rhyme enough that I will probably not want to do another project involving it!

The project length is just nice and nicely broken into 10 tasks so you'll at least understand the major steps if not all the code

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.