#Vgg16
Showing 13 of 13 repositories tagged #vgg16, ranked by stars
๐ Difficult algorithm, Simple code.
food image to recipe with deep convolutional neural networks.
Deep learning codes and projects using Python
tensorflow implementation of Grad-CAM (CNN visualization)
Deep-learning seismic facies on state-of-the-art CNN architectures
Furniture Object Detector & Recommender using Detectron2 & VGG16 (IKEA Furniture Recommender)
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Example of Deconvnet in PyTorch for VGG16
Pytorch implementation of DeepDream on VGG16 Network
This repository presents an innovative approach to classifying blood groups using fingerprint images through deep learning techniques. The project explores state-of-the-art convolutional neural network (CNN) architectures, such as ResNet, VGG16, AlexNet, and LeNet, to analyze and predict blood groups accurately.
The VGG16 and VGG19 networks in caffe with jupyter notebook
Pre-trained VGG-Net Model for image classification using tensorflow