Deep Learning - Computer Vision for Beginners Using PyTorch - Slicing

Deep Learning - Computer Vision for Beginners Using PyTorch - Slicing

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial explains the concept of slicing in numpy arrays, both single and multi-dimensional. It begins with an introduction to slicing, demonstrating how to access specific elements or ranges in a single-dimensional array using indices. The tutorial then extends these concepts to multi-dimensional arrays, showing how to specify slices for each dimension to retrieve specific rows, columns, or elements. The video emphasizes that slicing in numpy arrays is similar to slicing in Python lists, with examples illustrating the use of indices and step sizes.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the method to access a specific value in a multi-dimensional numpy array?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how to use colon notation for slicing in numpy arrays.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the steps to analyze the slicing logic applied to a numpy array?

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