Animated guide to Activation Functions in Neural Network - MLK - Machine Learning Knowledge
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Animated guide to Activation Functions in Neural Network - MLK - Machine Learning Knowledge
There are many activation functions in neural network. Each have their own pros & cons.In this post we will see the most common activation functions.
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Rajesh Srivastava on Instagram: "Neural networks need activation functions because without them, stacking layers does nothing useful. a. Without activations, the entire network collapses into a single linear equation, no matter how deep it is. b. purely linear model cannot learn complex patterns or relationships in data. c. This means no image recognition, no speech understanding, no language modeling, and no real AI. d. Activation functions introduce non-linearity*, which is the key ingredient
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