This repository contains a collection of deep learning models designed for image classification and processing tasks. Leveraging advanced convolutional neural networks (CNNs) and other state-of-the-art techniques, these models are crafted for various applications, from object recognition to image enhancement.
The VGG16 model is one of the most popular deep learning models for image classification. It consists of 16 layers, primarily convolutional layers followed by max-pooling layers, which helps in extracting rich features from the images.
This model demonstrates the use of a basic CNN architecture combined with MaxPooling layers. It’s designed for efficient feature extraction and down-sampling, making it suitable for various image processing tasks.
