Model 1 : 3 layers with 1 convolution layer
Model 2 : 5 layers with 2 convolution layer
Model 3 : 7 layers with 4 convolution layer
2. Training with training loss
Model 1
Model 2
Model 3
Perform test with test data
Model 1
Model 2
Model 3
4. Images and corresponding probability that predicted Right
Model 1
Model 2
Model 3
5. Images and corresponding probability that predicted Wrong
Model 1
Model 2
Model 3