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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the role of hidden layers in a neural network?
💡 Hint: Think about how they connect inputs and outputs.
Question 2
Easy
Name one common activation function used in hidden layers.
💡 Hint: This function allows only positive values to pass through.
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 do hidden layers in a neural network primarily do?
💡 Hint: Consider their function within the network.
Question 2
True or False: The activation function's primary role is to add linearity to the model.
💡 Hint: Think about the properties of activation functions.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Calculate how many neurons are needed if you have 5 inputs, 10 neurons in the first hidden layer, and 7 in the output layer, considering each hidden layer needs connections to all neurons.
💡 Hint: Consider how each layer connects to the next.
Question 2
Describe a scenario where using a deeper network with more hidden layers may lead to better model performance. Include potential drawbacks.
💡 Hint: Think about the balance between complexity and data overfitting.
Challenge and get performance evaluation