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Algorithm_03

1.Model

Model 1: 3 Layer Model with 1 Convolution Layer

-Code- m1

-Summary- m1 summary

Model 2: 5 Layer Model with 2 Convolution Layer

-Code- m2

-Summary- m2 summary

Model 3: 7 Layer Model with 4 Convolution Layer

-Code- m3

-Summary- m3 summary

2.Training with Training loss

Training Step

Training for 5 epochs

Model 1

m1-2

Model 2

m2 training

Model 3

m3 training

3.Test Accuracy

Model 1

m1 test

Model 2

m2 test

Model 3

m3 test

4.Images and corresponding probability that predicted Right

Model 1

m1 image

Model 2

m2 image

Model 3

m3 image

5.Images and corresponding probability that predicted Wrong

Model 1

m1 last

Model 2

m2 last

Model 3

m3 last

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