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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

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150件の評価
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34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

BN
2020年5月29日

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

SG
2020年9月5日

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

フィルター：

Named Entity Recognition using LSTMs with Keras： 26 - 34 / 34 レビュー

by Nirmala S

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2020年5月31日

Good learning experience.

by Benjamin B L

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2020年7月22日

Very helpful

by Neelkanth S M

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2020年9月19日

it's too short, plus I expected it to be close to real life projects

by Akshay G

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2021年2月6日

More in-depth explanations on model building and use of libraries could have been useful. I expected a bit more considering I paid USD 10 for this course. And the course felt a bit too short.

by Simon S R

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2020年9月4日

Needs more theoretical explanation alongside, not better than other free tutorials.

by Krishna C M

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2020年11月27日

Nothing useful from this guided course, you can even read a free published article from random source. All the instructor did was read out what he is typing. The ability to code while you watch video, I did not find it much useful.

by Manoj R

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2020年6月26日

It's just the copy of what is available as free in the internet, even the dataset...

by Youyi K

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2020年7月7日

the third party tool... no sound at all...total waste of time and money

by Nisarg A M

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2021年2月4日

At least provide the notebook with code after the course ends.

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