Practice Multi-layer Perceptron (mlp) (7.1.3) - Deep Learning & Neural Networks
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Multi-Layer Perceptron (MLP)

Practice - Multi-Layer Perceptron (MLP)

Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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Reference links

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