Tutorial 111 - Multiclass Classification using deep learning

Автор: ZEISS arivis

Загружено: 2021-06-01

Просмотров: 6170

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Code associated with these tutorials can be downloaded from here: https://github.com/bnsreenu/python_fo...

Multiclass classification is a machine learning classification task that consists of more than two classes, or outputs.
There are many possible classes, but the outcome is exclusive.
The outcome is usually probabilities for each of the available classes.
An outcome is assigned based on the class with highest probability.

cifar10 dataset
60,000 32×32 pixel images divided into 10 classes.

0: airplane
1: automobile
2: bird
3: cat
4: deer
5: dog
6: frog
7: horse
8: ship
9: truck

Tutorial 111 - Multiclass Classification using deep learning

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