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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a Feedforward Neural Network?
💡 Hint: Think about how the data moves through the network.
Question 2
Easy
Which functions introduce non-linearity in FNNs?
💡 Hint: These functions change the output of a neuron.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
In a Feedforward Neural Network, data flows:
💡 Hint: Remember the definition of 'feedforward'.
Question 2
True or False: A Feedforward Neural Network can contain loops.
💡 Hint: Think about the structure of the network.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Design a Feedforward Neural Network for multi-class classification. Specify the number of layers, types of activation functions, and the rationale behind your choices.
💡 Hint: Consider the number of classes when deciding on the output layer.
Question 2
Discuss the potential impact of overfitting in a Feedforward Neural Network and how you might mitigate this issue.
💡 Hint: Think of ways to ensure the model generalizes well.
Challenge and get performance evaluation