Coursera Project Network
Classify Radio Signals from Space using Keras
Coursera Project Network

Classify Radio Signals from Space using 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
4.5

(255 reviews)

What you'll learn

  • Build and train a convolutional neural network (CNN) using Keras

  • Display results and plot 2D spectrograms with Python in Jupyter Notebook

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
4.5

(255 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 and Import Libraries

  2. Load and Preprocess SETI Data

  3. Create Training and Validation Data Generators

  4. Build the CNN Model

  5. Learning Rate Scheduling and Compile the Model

  6. Train the Model

  7. Evaluate the Model

Recommended experience

Prior Python programming experience and a theoretical understanding of convolutional neural networks is required.

4 project images

Instructor

Instructor ratings
4.1 (15 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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Learner reviews

Showing 3 of 255

4.5

255 reviews

  • 5 stars

    62.74%

  • 4 stars

    26.66%

  • 3 stars

    7.84%

  • 2 stars

    1.96%

  • 1 star

    0.78%

JD
5

Reviewed on Jun 6, 2020

SB
5

Reviewed on May 23, 2020

SS
4

Reviewed on Jun 13, 2020

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