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algorithm's Introduction

FIRST MODEL

1. Model

model

2. Training with Training loss

Training

3. Test Accuracy

Test_acc

4. Images and corresponding probability that predicted Right

right

5. Images and corresponding probability that predicted Wrong

wrong

SECODN MODEL

1. Model

model

2. Training with Training loss

Training

3. Test Accuracy

Test_acc

4. Images and corresponding probability that predicted Right

right

5. Images and corresponding probability that predicted Wrong

wrong

THIRD MODEL

1. Model

model

2. Training with Training loss

Training

3. Test Accuracy

Test_acc

4. Images and corresponding probability that predicted Right

right

5. Images and corresponding probability that predicted Wrong

wrong

algorithm's People

Contributors

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Watchers

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