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

Test your understanding with targeted questions related to the topic.

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.

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 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.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation