Algorithm_04

Model 1

1. Model MODEL 1 : 3 Layers with 1 Concolution layer

2. Training with Training loss Training Step Training for 5 epochs model.fit(train_images, train_labels, epochs = 5)

3. Test Accuracy

4. Images and corresponding probability that predicted Right

5. Images and corresponding probability that predicted Wrong

Model 2

1. Model MODEL 2 : 5 Layers with 2 Convolution layer

2. Training with Training loss Training Step

3. Test Accuracy

4. Images and corresponding probability that predicted Right

5. Images and corresponding probability that predicted Wrong

Model 3

1. Model MODEL 3 : 7 Layers with 4 Convolution layer

2. Training with Training loss Training Step

3. Test Accuracy

4. Images and corresponding probability that predicted Right

5. Images and corresponding probability that predicted Wrong