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Deep-Dive into Tensorflow Activation Functions
Coursera Project Network

Deep-Dive into Tensorflow Activation Functions

Included with Coursera Plus

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

Recommended experience

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

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Learn when, where, why and how to use different activation functions and for which situations

  • Code examples of each activation function from scratch in Python

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. Review the Activation Functions, Their Properties & the Principle of Nonlinearity

  2. Implementing Linear and Binary Step Activations

  3. Implementing Ridge-based Activation Functions (ReLu family)

  4. Implementing Variations of Relu & the Swish Family of Non-Monotonic Activations

  5. Implementing Radial-based Activation Functions (RBF family)

Recommended experience

Python Experience; Beginner Tensorflow

9 project images

Instructor

Charles Ivan Niswander II
Coursera Project Network
1 Course392 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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