When we don't have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address this we use a technique called data augmentation in deep learning. Data augmentation is used to generate new training samples from current training set using various transformations such as scaling, rotation, contrast change etc. In this video, we will classify flower images and see how our cnn model overfits. After that we will use data augmentation to generate new training samples and see how model performance improves.
#dataaugmentation #dataaugmentationdeeplearning #addressoverfitting #cnn #deeplearningtutorial
Do you want to learn technology from me? Check [ Ссылка ] for my affordable video courses.
Code: [ Ссылка ]
Deep learning playlist: [ Ссылка ]
Machine learning playlist : [ Ссылка ]
Discord: [ Ссылка ]
Website: [ Ссылка ]
Facebook: [ Ссылка ]
Twitter: [ Ссылка ]
Linkedin: [ Ссылка ]
DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
