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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does MLP stand for?
π‘ Hint: Think about the layers in a neural network.
Question 2
Easy
Name one common activation function used in MLPs.
π‘ Hint: It's usually applied in hidden layers.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the role of an activation function in an MLP?
π‘ Hint: Think of it as a switch that decides whether a neuron 'fires'.
Question 2
True or False: The number of epochs determines how many times the training data is processed in MLP training.
π‘ Hint: Consider the definition of an epoch.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Build a comprehensive MLP model from scratch using Keras for a tabular dataset. Document each stage from data preparation to evaluation.
π‘ Hint: Consider if you'll need to adjust for unbalanced classes in the dataset.
Question 2
Compare and contrast the performance of two different activation functions in an MLP trained on a specific dataset.
π‘ Hint: What differences do you expect in convergence rates between these functions?
Challenge and get performance evaluation