Practice - Layers: Input → Hidden → Output
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Practice Questions
Test your understanding with targeted questions
What is the main role of the Input layer in a DNN?
💡 Hint: Think about where the data comes into the network.
Name one activation function used in DNNs.
💡 Hint: These functions are used to determine neuron activation.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does the Input layer do in a DNN?
💡 Hint: It’s the starting point of a DNN.
True or False: The Output layer is responsible for feature extraction.
💡 Hint: Think about what each layer's primary function is.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a small neural network for predicting house prices using input data like size, location, and condition. Describe the layers and activation functions you would use.
💡 Hint: Think about how each layer corresponds to specific features and the task type.
Explain how changing the number of neurons in the Hidden layer alters the performance of a DNN.
💡 Hint: Consider the trade-off between capacity and generalization.
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Reference links
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