You've learned how to use Tensorflow. You've learned the important functions, how to design and implement sequential and functional models, and have completed several test projects. What's next? It's time to take a deep dive into activation functions, the essential function of every node and layer of a neural network, deciding whether to fire or not to fire, and adding an element of non-linearity (in most cases).
Deep-Dive into Tensorflow Activation Functions
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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
Skills you'll practice
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:
Review the Activation Functions, Their Properties & the Principle of Nonlinearity
Implementing Linear and Binary Step Activations
Implementing Ridge-based Activation Functions (ReLu family)
Implementing Variations of Relu & the Swish Family of Non-Monotonic Activations
Implementing Radial-based Activation Functions (RBF family)
Recommended experience
Python Experience; Beginner Tensorflow
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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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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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