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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a neuron in a neural network?
💡 Hint: Think about how a biological neuron functions.
Question 2
Easy
Define 'weight' in the context of neural networks.
💡 Hint: Consider how different inputs may have different effects.
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 function of a neuron in a neural network?
- To store data
- To process inputs and produce outputs
- To create a database
💡 Hint: Consider what work neurons do in the network.
Question 2
True or False: Weight is the parameter that adjusts the output alongside the bias.
- True
- False
💡 Hint: Think about weights and biases and their roles.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a basic neural network architecture for an image recognition task. Describe how you would implement weights and biases in the model.
💡 Hint: Think about how processing and learning occur in neural networks.
Question 2
Explain the role of activation functions in preventing issues like vanishing gradients in deep networks, comparing at least two different types.
💡 Hint: Consider how different functions react to increasing input values.
Challenge and get performance evaluation