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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is forward propagation?
💡 Hint: Consider the flow of data through the layers.
Question 2
Easy
Name an activation function.
💡 Hint: Think about functions that introduce non-linearity.
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 does forward propagation do in a neural network?
- A. It trains the model
- B. It propagates input data through the network to produce an output
- C. It evaluates model performance
💡 Hint: Remember the flow of input to output.
Question 2
True or False: Activation functions are used to make the outputs linear.
- True
- False
💡 Hint: Consider the purpose of activation functions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a simple neural network with two hidden layers. Describe how forward propagation occurs with an example input and weights.
💡 Hint: Focus on how each layer transforms the data.
Question 2
Compare and contrast the use of Sigmoid and ReLU in forward propagation. Under what circumstances would you choose one over the other?
💡 Hint: Consider the architectural implications of selecting activation functions.
Challenge and get performance evaluation