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Top Deep Learning Interview Questions & Answers for Data Scientists
As deep learning adoption increases across industries, more companies are seeking data scientists with deep learning skills and experience. Successfully answering deep learning technical questions has become critical for data science job interviews.
This article covers some of the most common deep learning interview questions asked by top tech companies and provides example answers to help you prepare. It will review questions related to deep learning concepts, techniques, architectures, and applications.
The goal is to help data scientists have a solid review of deep learning fundamentals and be able to discuss deep learning applications confidently during technical interviews.
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Q1: What are autoencoders? Explain the different layers of autoencoders and mention three practical usages of them.
Autoencoders are one of the deep learning types used for unsupervised learning. There are key layers of autoencoders, which are the input layer, encoder, bottleneck hidden layer, decoder, and output.
The three layers of the autoencoder are:-
- Encoder — Compresses the input data to an encoded representation which is typically much smaller than the input data.
- Latent Space Representation/ Bottleneck/ Code — Compact summary of the input containing the most…
