Coursera Project Network
Tweet Emotion Recognition with TensorFlow
Coursera Project Network

Tweet Emotion Recognition with TensorFlow

Taught in English

Amit Yadav

Instructor: Amit Yadav

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Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.6

(152 reviews)

What you'll learn

  • Use a Tokenizer in TensorFlow

  • Pad and Truncate Sequences

  • Create and Train a Recurrent Neural Network

  • Use NLP and Deep Learning to perform Text Classification

Details to know

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Guided Project

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

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.6

(152 reviews)

See how employees at top companies are mastering in-demand skills

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

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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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. Introduction

  2. Setup and Imports

  3. Importing Data

  4. Tokenizer

  5. Padding and Truncating Sequences

  6. Preparing Labels

  7. Creating and Training RNN Model

  8. Model Evaluation

Recommended experience

Prior programming experience in Python, familiarity with TensorFlow, theoretical understanding of recurrent neural networks.

6 project images

Instructor

Instructor ratings
4.6 (7 ratings)
Amit Yadav
Coursera Project Network
41 Courses339,467 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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Showing 3 of 152

4.6

152 reviews

  • 5 stars

    71.71%

  • 4 stars

    19.73%

  • 3 stars

    5.92%

  • 2 stars

    0.65%

  • 1 star

    1.97%

KA
5

Reviewed on Aug 1, 2021

KR
4

Reviewed on May 29, 2022

GP
4

Reviewed on Aug 25, 2022

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