Practice - Construct and Train a Baseline Multi-Layer Perceptron (MLP)
Practice Questions
Test your understanding with targeted questions
What does MLP stand for?
💡 Hint: Think about the layers in a neural network.
Name one common activation function used in MLPs.
💡 Hint: It's usually applied in hidden layers.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the role of an activation function in an MLP?
💡 Hint: Think of it as a switch that decides whether a neuron 'fires'.
True or False: The number of epochs determines how many times the training data is processed in MLP training.
💡 Hint: Consider the definition of an epoch.
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Challenge Problems
Push your limits with advanced challenges
Build a comprehensive MLP model from scratch using Keras for a tabular dataset. Document each stage from data preparation to evaluation.
💡 Hint: Consider if you'll need to adjust for unbalanced classes in the dataset.
Compare and contrast the performance of two different activation functions in an MLP trained on a specific dataset.
💡 Hint: What differences do you expect in convergence rates between these functions?
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Reference links
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