Coursera Project Network
Basic Image Classification with TensorFlow
Coursera Project Network

Basic Image Classification with TensorFlow

Amit Yadav

Instructor: Amit Yadav

Sponsored by Southern Federal University

25,996 already enrolled

Learn, practice, and apply job-ready skills with expert guidance
4.6

(825 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.6

(825 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Create, train and evaluate a neural network in TensorFlow

  • Understand the basics of neural networks

  • Solve classification problems with neural networks

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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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. Encode the labels

  2. Understand neural networks

  3. Preprocess image examples

  4. Create a neural network model

  5. Train the model to fit the dataset

  6. Evaluate the model

  7. Visualize the predictions

Recommended experience

Some experience in Python programming is recommended

7 project images

Instructor

Instructor ratings
4.5 (47 ratings)
Amit Yadav
Coursera Project Network
12 Courses173,413 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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4.6

825 reviews

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AR
5

Reviewed on Jul 16, 2022

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4

Reviewed on Apr 12, 2020

OK
5

Reviewed on Mar 24, 2020

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