8.2 - Deep Neural Networks (DNNs)
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Practice Questions
Test your understanding with targeted questions
What defines a neural network as 'deep'?
💡 Hint: Think about how many layers separate the inputs from the outputs.
Name one common loss function used in regression tasks.
💡 Hint: Consider what function measures the average squared difference.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What makes a neural network 'deep'?
💡 Hint: Consider the layers involved in processing the input.
Is Mean Squared Error used for classification tasks?
💡 Hint: Think about the types of data being compared in classification.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Consider a DNN with multiple hidden layers. Discuss the potential trade-offs between having a very deep network versus a shallower one in terms of learning capacity and overfitting.
💡 Hint: Think about the relationship between complexity, performance, and risk of overfitting.
Design a basic neural network for classifying images. Indicate which loss function you would select and justify your choice.
💡 Hint: Consider what type of data you're working with and what function will best evaluate your model's performance.
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