Popular GitHub Repositories for Vgg16 Model

Implementing the MST Research Paper in PyTorch

An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its application to a real-time alerting system

Deep Learning Image Classification model ,VGG16 implemented from scratch using custom modelling in keras, to classify images of dog and cats among their respective classes..

Developed recommendation pipelines leveraging content-based and collaborative filtering to present top n customer recommendations from user items and customer purchase histories. Alternatively, image similarity recommendations were generated using k means clustering and Neural Networks (NNs) from product images.

This is a Deep Learning Model to classify kidney

End To End implementation of chicken disease classification. Model trained on VGG16.

This project involves using transfer learning to classify images into categories such as cats vs. dogs by leveraging a pre-trained model like VGG16 or ResNet. Transfer learning allows you to adapt a pre-trained model to your specific problem, making the training process faster and often more effective.