Algorithm_03

Model 1 : 3 Layers with 1 Convolution layer

1. Training with Training loss

2. Test Accuracy

3. Images and corresponding probability that predicted Right

4. Images and corresponding probability that predicted Wrong

Model 2 : 5 Layers with 2 Convolution layer

1. Training with Training loss

2. Test Accuracy

3. Images and corresponding probability that predicted Right

4. Images and corresponding probability that predicted Wrong

Model 3 : 7 Layers with 4 Convolution layer

1. Training with Training loss

2. Test Accuracy

3. Images and corresponding probability that predicted Right

4. Images and corresponding probability that predicted Wrong