Practice - Activation Functions
Practice Questions
Test your understanding with targeted questions
What is the primary purpose of an activation function in a neural network?
💡 Hint: Think about why we can't use just linear functions.
What output range does a sigmoid function produce?
💡 Hint: It's often used in binary classifications.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary output range of the Sigmoid function?
💡 Hint: Remember which context it is generally used in.
True or False: The Tanh function is centered at zero, while Sigmoid is not.
💡 Hint: Think about the center point of each function.
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Challenge Problems
Push your limits with advanced challenges
Analyze and explain why deep neural networks prefer ReLU and its variants over traditional functions like Sigmoid and Tanh for hidden layers.
💡 Hint: Consider how activation functions impact gradient flow during backpropagation.
Consider a multi-class classification problem with an output layer using Sigmoid instead of Softmax. Discuss the advantages and disadvantages.
💡 Hint: Reflect on the nature of class probabilities in multi-class scenarios.
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Reference links
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