Deep Learning Engineer Interview Questions

519 deep learning engineer interview questions shared by candidates

How would you create a classifier to classify a point P in a LiDAR dataset as either belonging to a "blob"-type object (trees, etc), a "plane"-type object (side of building, road, etc), or a "line"-type object (street sign, etc) using only x, y, z information of the point in question and the x, y, z coordinates of other points in a given neighborhood R.
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Deep Learning Engineer

Interviewed at Forterra

4.1
Nov 5, 2024

How would you create a classifier to classify a point P in a LiDAR dataset as either belonging to a "blob"-type object (trees, etc), a "plane"-type object (side of building, road, etc), or a "line"-type object (street sign, etc) using only x, y, z information of the point in question and the x, y, z coordinates of other points in a given neighborhood R.

Python code 1)to draw a vague waveform 2)to load a video file framewise. 3) to implement data and network learning code(architecture and output graph is given) 4)to implement VAE using MNIST by given parameters. (dataset in colab)

Deep learning developer

Interviewed at GPU EATER

Sep 24, 2023

Python code 1)to draw a vague waveform 2)to load a video file framewise. 3) to implement data and network learning code(architecture and output graph is given) 4)to implement VAE using MNIST by given parameters. (dataset in colab)

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