Practice Experiment With Different Activation Functions (lab.3) - Introduction to Deep Learning (Weeks 11)
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Experiment with Different Activation Functions

Practice - Experiment with Different Activation Functions

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary function of activation functions in neural networks?

💡 Hint: Think about why neural networks need to understand complex patterns.

Question 2 Easy

Name two common activation functions.

💡 Hint: Remember the acronym we discussed in class.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does an activation function do in a neural network?

Maps input values to the output space.
Determines the number of input features.
Changes weights and biases.

💡 Hint: Think about the roles activation functions play in transforming input data.

Question 2

True or False: ReLU can output negative values.

True
False

💡 Hint: Recall the definition or formula of ReLU function.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a neural network from scratch where you would utilize both Sigmoid and Softmax activation functions. Explain why you chose each function for its respective layer.

💡 Hint: Consider the nature of your output classes.

Challenge 2 Hard

Evaluate the impact of switching the activation function of the hidden layers from ReLU to Sigmoid. What potential issues might arise in training?

💡 Hint: Remember how each function behaves with different input ranges.

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Reference links

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