CatandDogsWithAugmentation

CatandDogsWithAugmentation In the project on the dogs-vs-cats dataset from Kaggle, I utilized various deep learning techniques, including densely connected networks, convets, and ImageDataGenerator for data augmentation, to improve model performance in image classification. Moreover, I applied the VGG16 network as the base model and fine-tuned it by adding a custom top for classification. This combination of pre-trained and custom layers led to better accuracy, showcasing your proficiency in transfer learning and model adaptation.