ML Knowledge

Can you explain the concept of a CNN and its practical applications?

Machine Learning Engineer

Bolt

Ally

Niantic

Symantec

Udemy

HelloFresh

Did you come across this question in an interview?

Answers

Anonymous

3Strong
CNN or graph convolutional neural networks is a type of NN that is usually used in vision tasks. Each layer of CNN contains a multilayer filter, where each filter is a k by h matrix, the filter then applied on a M by N matrix as a sliding window, the operation can be a dot product or a pooling layer, 
  • Can you explain the concept of a CNN and its practical applications?
  • How does CNN work, and what industries find it useful?
  • Please discuss the practical implications of using CNN and the fields where it sees the most adoption.
  • In what circumstances should CNN be used, and what benefits does it provide?
  • Please tell me about the role of CNNs and where they are typically applied.
  • What would you say is the primary function of CNN, and where is it most relevant?
  • When designing machine learning solutions, where does CNN fit in, and what kind of problems does it tackle?
  • Could you give me a brief overview of CNN and when it is used across industries?
  • How would you define CNN and where would it find relevance in various sectors?
  • What is a CNN? Where is it relevant?
Try Our AI Interviewer

Prepare for success with realistic, role-specific interview simulations.

Try AI Interview Now

Interview question asked to Machine Learning Engineers interviewing at Bolt, Udemy, Nuro and others: Can you explain the concept of a CNN and its practical applications?.