Training the Image Classifier with and without Data Augmentation

R. Nithya
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
The main objective of this paper is to train the image classifier using Convolutional Neural Networks with tensorflow architecture. The proposed paper focus on systematic approaches in classifying the sample set of images using Convolutional Neural Networks. The CNN model with activation function thus classifies the dataset into two categories exactly like human. Thus, the paper highlights the importance of augmentation by comparing their accuracies.
doi:10.32628/cseit206245 fatcat:mba74p6hobcz7oswskfybufvki