The Convolutional Neural Network (CNN) has shown an excellent performance in computer vision task. Applications of CNN include image classification, image semantic segmentation, object detection in images, etc.This project will observe 4 different choice of hyperparameter on their effect to CNN with ReLU and SELU as activation function
Network Confuguration
Training Accuracy on Cifar-10 using Xavier Initialization
Training Loss on SVHN with Adam Optimization
More detail report is in pdf file.