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About Image Classification With The MNIST Dataset: Objectives
The document provides an introduction to classifying handwritten digits with the MNIST dataset using deep learning. It discusses how deep learning can solve image classification problems where traditional programming cannot. It then describes loading the MNIST dataset into memory using Keras, which contains 60,000 training images and 10,000 validation images of handwritten digits from 0-9 sized at 28x28 pixels each. The document explores the characteristics of the image data.
Detailed Information
Author: | ['Praveen Singh'] |
---|---|
Publication Year: | 2022 |
Pages: | 21 |
Language: | English |
Format: | |
Price: | FREE |
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