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学生对 Coursera 提供的 Sentiment Analysis with Deep Learning using BERT 的评价和反馈

4.4
398 个评分

课程概述

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....

热门审阅

RK

Jun 29, 2020

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

PB

Sep 13, 2020

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

筛选依据:

51 - Sentiment Analysis with Deep Learning using BERT 的 75 个评论(共 84 个)

创建者 Rishabh R

May 6, 2020

Excellent

创建者 Jai P

Jun 27, 2020

awesome

创建者 Luis M R C

Sep 8, 2020

Great

创建者 Maria B J A M - O

Jul 30, 2020

Great

创建者 PAVITHRA B

Sep 24, 2020

GOOD

创建者 k j

Jun 30, 2020

good

创建者 Vajinepalli s s

Jun 16, 2020

nice

创建者 tale p

Jun 16, 2020

good

创建者 Moulay A E T

Sep 30, 2023

ok

创建者 Yen L B

Sep 12, 2020

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

创建者 Zinan L

Mar 20, 2024

I found the project is excellent and informative, but I encountered some challenges with the online platform's performance. Specifically, I faced difficulties in completing the project because the platform took an excessively long time to run. Unfortunately, the platform could not handle the extended duration required to execute the project, resulting in incomplete runs and frustration.

创建者 Timothy Q

Nov 3, 2020

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.

创建者 Learn P P

Jun 27, 2020

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.

创建者 Siddique Z A

Aug 8, 2020

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.

创建者 Wira M

Feb 12, 2021

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

创建者 Divya B

Nov 18, 2021

The course covered the material well. Helpful to do the exercises side by side. I feel the course does require prior knowledge of pyTorch and BERT also.

创建者 Rajiv K

Jun 30, 2020

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

创建者 Shantanu B

Jun 5, 2020

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

创建者 Pikachu R

Sep 25, 2020

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

创建者 Nicole G C

Jul 18, 2020

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

创建者 Ramkumar R

Jun 5, 2020

Very useful to learn more with deep learning using Bert

创建者 Rohit L

Aug 4, 2021

the instructor could try to explain a bit more

创建者 SYED A G S

May 16, 2020

its very helpful and very good

创建者 KRUSHNA P S

May 30, 2020

Awesome Project