Deep Learning Engineer

Deep Learning Engineer Interview Questions and Answers for Freshers

Updated 3 Jul 2025

Asked in Walmart

1d ago

Q. Graph Coloring Problem

You are given a graph with 'N' vertices numbered from '1' to 'N' and 'M' edges. Your task is to color this graph using two colors, such as blue and red, in a way that no two adjacent vert...read more

Ans.

The task is to color a graph with two colors in a way that no two adjacent vertices share the same color.

  • Check if the graph can be colored using two colors without any adjacent vertices sharing the same color.

  • Use graph coloring algorithms like Greedy Coloring or Backtracking to solve the problem.

  • Consider connected components in the graph while coloring.

  • If a vertex has an odd cycle, it is not possible to color the graph with two colors.

Asked in Adobe

5d ago

Q. Wildcard Pattern Matching Problem Statement

Implement a wildcard pattern matching algorithm to determine if a given wildcard pattern matches a text string completely.

The wildcard pattern may include the charac...read more

Ans.

Implement a wildcard pattern matching algorithm to determine if a given wildcard pattern matches a text string completely.

  • Create a recursive function to match the pattern with the text character by character.

  • Handle cases for '?' and '*' characters in the pattern.

  • Use dynamic programming to optimize the solution.

  • Check for edge cases like empty pattern or text.

  • Iterate through the pattern and text to determine if they match completely.

Asked in Dubverse

5d ago
Q. What is the loss function of YOLO?
Ans.

The loss function of YOLO is a combination of localization loss, confidence loss, and classification loss.

  • YOLO uses a sum-squared error loss function to calculate the localization loss, which penalizes the difference between the predicted bounding box and the ground truth bounding box.

  • The confidence loss penalizes the model for incorrect objectness predictions and no object predictions in grid cells.

  • The classification loss is calculated using a softmax function to predict the...read more

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