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Named Entity Recognition using LSTMs with Keras に戻る

Coursera Project Network による Named Entity Recognition using LSTMs with Keras の受講者のレビューおよびフィードバック

4.4
160件の評価
36件のレビュー

コースについて

In this 1-hour long project-based course, you will use the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. Named entity recognition models can be used to identify mentions of people, locations, organizations, etc. Named entity recognition is not only a standalone tool for information extraction, but it also an invaluable preprocessing step for many downstream natural language processing applications like machine translation, question answering, and text summarization. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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....

人気のレビュー

YK
2021年6月18日

End to End example of how to implement NLP NER in Keras using bi directional LSTM. Completed notebook can be found in the Coursera project resource page.

BN
2020年5月29日

Excellent short course with hands on exercise. Wish to do more free courses.

フィルター:

Named Entity Recognition using LSTMs with Keras: 1 - 25 / 36 レビュー

by Mohamed H G

2020年5月27日

You could increase the time limit for the instructor to explain the functions and logic behind it more elaborately.

And i would be happy if they provided an option for compiling on our own desktops which would be quicker and more efficient on real world Data.

The online GPU was dependent on the internet connectivity and wasn't efficient enough.

On the whole, the course was helpful, Thanks.

by Ashutosh R

2020年5月28日

Explanations of functions and library used were a little less, otherwise a good course

by Raihan R

2020年5月8日

A very short course with very little explanation. Rhyme server keeps restarting without any apparent reason. Probably a YouTube video with a Google Colaboratory workbook would have sufficed. Without exercises to practice on, students can only mindlessly copy what the instructor just did.

by Shashi K G

2020年9月6日

This project is a short end-end show. Quickest way to know the process.

by Anantha P

2020年5月25日

Good course covering all the basics required to train a NER model using LSTM without requiring a lot of per-requisite knowledge. Guided project made it easy to follow the instructor and to get an hands on experience

by Rajat R B

2020年5月31日

Rhyme never connected and project was too simple. Elaborate explanations would help!

by anurag g

2020年7月7日

The course content was very elementary for someone who wants to create a working project using NER. Author was directly using all the concepts in the code without any explanation. So, it was just copy-pasting the code. This will help only if you want an elementary piece of code without any explanation. Not worth your money!!

by Yaron K

2021年6月19日

End to End example of how to implement NLP NER in Keras using bi directional LSTM. Completed notebook can be found in the Coursera project resource page.

by Biranchi N N

2020年5月30日

Excellent short course with hands on exercise. Wish to do more free courses.

by Mwenda

2021年4月3日

Great course! Gives you a solid understanding of NER.

by Patrick O

2020年5月31日

Excellent course on revising LSTMs and Keras!

by Aldrin C V

2020年6月23日

A good way to start learning DL using Keras

by Ramprasath A

2020年5月20日

It served the purpose..

by farhan a j

2020年10月7日

Great explanation

by serdar b

2021年1月19日

Good instructor.

by janmejay b

2020年9月28日

Nice project...

by Sylvert T

2020年5月15日

Help me a lot

by Kamlesh C

2020年6月18日

Thank you...

by Gaikwad N

2020年7月23日

Excellent

by Rutal M

2020年6月2日

nice one

by Doss D

2020年6月14日

Thank u

by HASSAINAR T S

2020年6月4日

Awesome

by sarithanakkala

2020年6月23日

Useful

by Rifat R

2020年6月5日

Great

by p s

2020年6月23日

Nice