Create 7 DNN and CNN models for image classification.

each model will have different number of hidden layers, pooling layers. the model accuracy is shown below:

-------- Table for DNN and CNN Benchmark Experiment Results: Model Processing Time Test Set Accuracy

DNN with 2 layers 276.974 0.4238 DNN with 3 layers 318.391 0.4494 CNN with 2 Maxpool layers 50499.6 0.7435 CNN with 3 Maxpool layers 36886 0.7976 DNN with 3 layers and regularization 83.6137 0.4263 CNN with 3 Maxpool layers with regularization 32528.2 0.7832 CNN with 3 Maxpool layers regularization(256, 512,1024) 96055.2 0.7644