cifar10 classification

Classification of Cifar-10 dataset with Convolutional Neural Network using Tensorflow

##code cifar10_classifier.py : main source codes for training and evaluating accuracy

ConvNet.py : ConvNet model with 8 Conv layers, 4 Pool layers, 2 FC layers with dropout 0.75

##performance ~90% Accuracy(100 epochs)