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Named Entity Recognition using LSTMs with Keras
Coursera Project Network

Named Entity Recognition using LSTMs with Keras

Taught in English

Snehan Kekre

Instructor: Snehan Kekre

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.3

(173 reviews)

What you'll learn

  • Build and train a bi-directional LSTM with Keras

  • Solve the Named Entity Recognition (NER) problem with LSTMs

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.3

(173 reviews)

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Learn, practice, and apply job-ready skills in less than 2 hours

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Project Overview and Import Modules

  2. Load and Explore the NER Dataset

  3. Retrieve Sentences and Corresponding Tags

  4. Define Mappings between Sentences and Tags

  5. Padding Input Sentences and Creating Train/Test Splits

  6. Build and Compile a Bidirectional LSTM Model

  7. Train the Model

  8. Evaluate Named Entity Recognition Model

Recommended experience

The prerequisites for the project are prior Python programming experience as well as a theoretical understanding of neural networks.

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Instructor

Instructor ratings
2.9 (8 ratings)
Snehan Kekre
Coursera Project Network
43 Courses201,033 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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4.3

173 reviews

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    19.65%

  • 3 stars

    6.35%

  • 2 stars

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  • 1 star

    5.20%

AS
4

Reviewed on Nov 14, 2020

SG
5

Reviewed on Sep 5, 2020

AM
5

Reviewed on May 20, 2023

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