Coursera Project Network
Regression with Automatic Differentiation in TensorFlow
Coursera Project Network

Regression with Automatic Differentiation in 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

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(64 reviews)

What you'll learn

  • Understanding tensor constants, and tensor variables in TensorFlow.

  • Understanding automatic differentiation in TensorFlow.

  • Using automatic differentiation to solve a linear regression problem in TensorFlow.

Details to know

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Guided Project

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

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.7

(64 reviews)

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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. Tensor Constants

  2. Tensor Variables

  3. Automatic Differentiation

  4. Watching Tensors

  5. Persistent Tape

  6. Generating Data for Linear Regression

  7. Linear Regression

Recommended experience

Some experience with Python programming is required. Understanding of linear regression and gradient descent is required.

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Instructor

Amit Yadav
Coursera Project Network
41 Courses345,893 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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4.7

64 reviews

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PM
5

Reviewed on Feb 28, 2021

TC
4

Reviewed on Apr 9, 2020

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4

Reviewed on Oct 2, 2020

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