TTricker2/Algorithm_01

20176867 전현욱

Algorithm_01

Results

	Accuracy
Model 1	97.03
Model 2	98.57
Model 3	98.79

Model 1

1. Model

2. Train with Adam optimizer and training loss

1875 * 32 = 60000, it means that 1875 batches of 32 images.

3. Test Accuracy

4. Success images and corresponding probability

5. Failure images and corresponding probability

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Model 2

1. Model

2. Train with Adam optimizer and training loss

1875 * 32 = 60000, it means that 1875 batches of 32 images.

3. Test Accuracy

4. Success images and corresponding probability

5. Failure images and corresponding probability

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Model 3

1. Model

2. Train with Adam optimizer and training loss

1875 * 32 = 60000, it means that 1875 batches of 32 images.

3. Test Accuracy

4. Success images and corresponding probability

5. Failure images and corresponding probability