Practice - Activation functions: ReLU, Sigmoid, Tanh
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Practice Questions
Test your understanding with targeted questions
What does ReLU stand for?
💡 Hint: Think about the shape of its graph.
What range does the Sigmoid function output?
💡 Hint: Consider how it behaves at extreme inputs.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of using activation functions in neural networks?
💡 Hint: Consider what happens if there are no activation functions.
The output range of the Tanh function is:
💡 Hint: Visualize their range on the graph.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a neural network architecture for a binary classification problem including how you would incorporate activation functions.
💡 Hint: Focus on the advantages of each activation function in context.
Investigate a scenario using Tanh in a specific type of network architecture and justify its advantages over using ReLU.
💡 Hint: Reflect on handling sequential data and its requirements.
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Reference links
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