Python for Deep Learning - Build Neural Networks in Python - Dataset

Python for Deep Learning - Build Neural Networks in Python - Dataset

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers the implementation of Convolutional Neural Networks (CNN) in Python, focusing on the MNIST dataset of handwritten digits. It explains the dataset's characteristics, such as pre-aligned images, each containing a single hand-drawn digit, all in a 28x28 pixel grayscale format.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How are the images in the MNIST dataset pre-processed before being used?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the size and color format of the images in the MNIST dataset?

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