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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
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?
💡 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.
💡 Hint: Consider how thresholds are set for activation.
Solve and get performance evaluation
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