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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the three main layers in a Multi-Layer Perceptron?
💡 Hint: Think about the structure of the network.
Question 2
Easy
What does a fully connected layer mean?
💡 Hint: Consider how neurons interact.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the first layer in an MLP called?
- Output Layer
- Input Layer
- Hidden Layer
💡 Hint: Think about how data enters the network.
Question 2
True or False: Every neuron in a fully connected layer is connected to every neuron in the previous layer.
- True
- False
💡 Hint: Consider how layers might share information.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a multi-layer perceptron architecture for a simple binary classification problem, specifying the number of neurons in each layer and activation functions.
💡 Hint: Consider the number of features you're working with.
Question 2
Explain why adding more hidden layers can help an MLP learn better compared to a simpler network.
💡 Hint: Think about how different levels of abstraction can enhance learning.
Challenge and get performance evaluation