Отзывы учащихся о курсе Named Entity Recognition using LSTMs with Keras от партнера Coursera Project Network

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.

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

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.

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

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

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

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!!

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.

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

Great course! Gives you a solid understanding of NER.

Excellent course on revising LSTMs and Keras!

A good way to start learning DL using Keras

It served the purpose..

Great explanation

Good instructor.

Nice project...

Help me a lot

Thank you...

Excellent

nice one

Thank u

Awesome

Useful

Great

Nice