Introductory Deep Learning Quiz
A brief set of questions covering core ideas of deep neural models, suitable for those starting their AI journey.
Quiz Questions
Answer all questions below and test your knowledge.
- 1
What component processes input data and passes the result to the next layer in a feed-forward network?
- 2
Which activation function outputs values strictly between 0 and 1?
- 3
In supervised training, the loss calculated on data not seen during weight updates is called
- 4
What technique reduces overfitting by randomly disabling a fraction of neurons during each forward pass?
- 5
Which optimizer adjusts learning rates individually for each parameter based on past gradients?
- 6
A model that maps inputs to outputs without any hidden layers is known as
- 7
What term describes the process of scaling input features to a common range before training?
- 8
During backpropagation, which quantity is propagated backward through the network?
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