Types of Neural Networks — AI Technical Interview Questions & Answers

Types of Neural Networks

Types of Neural Networks

  • Feedforward MLP: tabular data. CNN: images (local filters). RNN/LSTM: sequences, mostly replaced by transformers for language. Transformers: attention, today’s NLP default. Autoencoders: compress. GANs / diffusion: generate images.
  • Match architecture to data shape. Don’t put a CNN on a 5-column marks table without a reason.
  • Output: idea / do / check for Types of Neural Networks. Fill those three in the viva.

Technical Interview Tip: CNN vs transformer: images vs language.

Code Examples for Types of Neural Networks

Example

# Types of Neural Networks
print("idea :", "Types of Neural Networks")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Types of Neural Networks. Fill those three in the viva.

How to Explain Types of Neural Networks to an Interviewer

What types of Neural Networks should you not mix up?

MLP / CNN / RNN / Transformer. Match to data type.

Which type ships in products today?

Narrow / limited memory

What mistake do freshers make when naming types?

Calling ChatGPT AGI