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AI Engineering

Deep Learning Interview Practice

Practise Deep Learning with multiple-choice questions in the style used in technical screening. Every answer comes with an explanation.

Free sets

Pro sets

Sample questions

1. What does a neuron compute?

  • A. A weighted sum of its inputs plus a bias, passed through an activation function
  • B. A random number with no inputs
  • C. A copy of its input
  • D. The whole training dataset

2. Why do networks need activation functions?

  • A. They remove the need for weights
  • B. They introduce non-linearity, so stacked layers can model more than a straight-line function
  • C. They store training data
  • D. They always output integers

Answers and explanations appear after you submit the full free set.

Start a free practice set