Activation Functions Explained: ReLU, Sigmoid, and Tanh (with Visuals)
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YouTubeCode With Robby🤖
Activation Functions Explained: ReLU, Sigmoid, and Tanh (with Visuals)
In this video, I break down activation functions in neural networks and explain what they do, why they’re important, and how they shape the way deep learning models make decisions. We’ll go step-by-step through Sigmoid, ReLU (Rectified Linear Unit), and Tanh (Hyperbolic Tangent), with clear visuals and simple examples that make each concept ...
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