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
