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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a Dense layer?
π‘ Hint: Think 'fully connected.'
Question 2
Easy
Why are weights important in Dense layers?
π‘ Hint: Consider how outputs are calculated.
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 connects each neuron in a Dense layer?
π‘ Hint: Think 'fully connected'.
Question 2
True or False: Biases in a neural network are always zero.
π‘ Hint: Consider their role in outputs.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a neural network with at least two Dense layers for a real-world classification task. Discuss how you would choose the number of neurons and regularization techniques to avoid overfitting.
π‘ Hint: Consider the complexity and nature of your dataset.
Question 2
Critique a neural network you're familiar with regarding the use of Dense layers. Discuss the pros and cons based on its architecture.
π‘ Hint: What balance should be struck between model complexity and generalization?
Challenge and get performance evaluation