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).
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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
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About this Guided Project
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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.
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Follow along with pre-recorded videos from experts using a unique side-by-side interface.
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Access the tools and resources you need in a pre-configured cloud workspace.
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This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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