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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of activation functions in neural networks?
💡 Hint: Think about how neurons in the human brain work.
Question 2
Easy
Name a common loss function used for classification tasks.
💡 Hint: Consider how probabilities relate to classification.
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 primary function of an activation function in a neural network?
- To calculate outputs
- To introduce non-linearity
- To optimize weights
💡 Hint: Think about how brain signals operate.
Question 2
True or False: Backpropagation uses the chain rule to calculate gradients.
- True
- False
💡 Hint: Focus on the relationship between layers when considering gradient updates.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a simple neural network architecture for classifying images of cats and dogs. Describe each layer's purpose and activation function used.
💡 Hint: Consider the progression from input to final classification.
Question 2
Given a dataset that shows signs of overfitting, describe the strategies you would employ to mitigate this issue.
💡 Hint: Think about how each method changes the model's approach to learning.
Challenge and get performance evaluation