Flower_Classification

Highlights Of The Project: 1)Flowers Images Dataset From Kaggle 2)Wanted to compare the prediction accuracy of classification of images of flowers using two methods 3)In the first method the architecture was A CNN network in a ResNet9 struture 4)Used A transfer Learning Approach on a pretrained resnet34 model 5)Method 1 gave 80% accuracy in contrast with 85% accuracy of method 2 6)For more Details About The HyperParameters Use the link to the Project