Topic: image-net Goto Github
Some thing interesting about image-net
Some thing interesting about image-net
image-net,In this project, we aimed to develop a deep learning model for accurately classifying X-ray images as either pneumonia or COVID cases. The objective was to compare accuracy of different types of CNN, where we used two: DenseNet and MobileNetV2 and acheived an accuracy of something close to 54.5% and later using feature scaling it came close to 85%.
User: amitsingh2903
Home Page: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/WNQ3GI]
image-net,This repository contains code for an image classification project that focuses on classifying 70 different dog breeds. The project was developed as a final project for Deep Learning school, aiming to demonstrate the application of deep learning techniques for multi-class classification tasks.
User: batiukmaks
image-net,tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.
User: celestialtaha
image-net,Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification
User: kalyani011
image-net,Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)
User: lehduong
image-net,Attention Branch Network demonstration
User: motokimura
image-net,[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
Organization: nvlabs
Home Page: https://arxiv.org/abs/2306.06189
image-net,CNN Implementation and optimization in comparison to Image-Net Pre-trained on CIFAR-10 Dataset Image Classification
User: pokarats
image-net,Simple classification script that uses VGG16. Learned on image-net
User: saworz
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