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About 13 Useful Deep Learning Interview Questions and Answer
This document provides 13 useful deep learning interview questions and answers to help candidates prepare for deep learning interviews. The questions cover basic topics like what is deep learning, the benefits of deep over shallow networks, cost functions, gradient descent, and backpropagation. More advanced questions cover mini-batch gradient descent, data normalization, weight initialization, autoencoders, connecting different layers, Boltzmann machines, and the role of activation functions. Understanding the concepts behind these common deep learning interview questions can help candidates succeed in interviews.
Detailed Information
| Author: | ['MD. SHAHIDUL ISLAM'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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