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Learner Reviews & Feedback for Named Entity Recognition using LSTMs with Keras by Coursera Project Network

4.4
stars
131 ratings
29 reviews

About the Course

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....

Top reviews

BN

May 30, 2020

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

SG

Sep 06, 2020

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

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1 - 25 of 29 Reviews for Named Entity Recognition using LSTMs with Keras

By Mohamed H G

May 27, 2020

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

May 28, 2020

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

By Md R U

May 08, 2020

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 Rajat R B

May 31, 2020

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

By Anurag G

Jul 07, 2020

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 Biranchi N N

May 30, 2020

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

By Shashi K G

Sep 06, 2020

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

By Patrick O

May 31, 2020

Excellent course on revising LSTMs and Keras!

By Aldrin C V

Jun 23, 2020

A good way to start learning DL using Keras

By Ramprasath A

May 21, 2020

It served the purpose..

By farhan a j

Oct 07, 2020

Great explanation

By Janmejay B

Sep 28, 2020

Nice project...

By Sylvert I

May 15, 2020

Help me a lot

By Kamlesh C

Jun 18, 2020

Thank you...

By Gaikwad N

Jul 23, 2020

Excellent

By Rutal M

Jun 02, 2020

nice one

By Doss D

Jun 14, 2020

Thank u

By HASSAINAR T S

Jun 04, 2020

Awesome

By sarithanakkala

Jun 23, 2020

Useful

By Rifat R

Jun 05, 2020

Great

By p s

Jun 24, 2020

Nice

By Anantha P

May 25, 2020

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 Padala V R

Jun 24, 2020

Rhyme interface is too laggy

By Nirmala S

May 31, 2020

Good learning experience.

By Benjamin B L

Jul 23, 2020

Very helpful