Practice Anatomy of a Deep Neural Network (DNN) - 1 | Deep Learning Architectures | Artificial Intelligence Advance
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Anatomy of a Deep Neural Network (DNN)

1 - Anatomy of a Deep Neural Network (DNN)

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the three main types of layers in a DNN?

💡 Hint: Think about the structure of a network.

Question 2 Easy

Name one activation function used in DNNs.

💡 Hint: Think of functions that help add complexity.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What are the three types of layers in a deep neural network?

Input
Output
Hidden
Input
Classifier
Output
Input
Output
Feature

💡 Hint: Think about the basic structure of neural networks.

Question 2

True or False: A bias helps neurons to activate even when all inputs are zero.

True
False

💡 Hint: Consider how thresholds are set for activation.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a mini DNN architecture for classifying handwritten digits (0-9). Describe the layers, activation functions, and loss function you would use.

💡 Hint: Consider how many features you need to classify each digit.

Challenge 2 Hard

Explain how the choice of activation function might influence a neural network's ability to learn complex patterns.

💡 Hint: Think about what happens if we only had linear activations.

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Reference links

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