Topic: cifar10-classification Goto Github
Some thing interesting about cifar10-classification
Some thing interesting about cifar10-classification
cifar10-classification,The aim of this project is to train autoencoder, and use the trained weights as initialization to improve classification accuracy with cifar10 dataset.
User: abdelrahman-gaber
cifar10-classification,Contains my project code for two CNN models, one trained for binary classification while the other made for multi-class classification. It utillises the CIFAR-10 dataset.
User: abhiverse01
cifar10-classification,This GitHub repository hosts my comprehensive CIFAR-10 image prediction project, which I completed as part of the SmartKnower program. CIFAR-10 is a widely used dataset in computer vision, consisting of 60,000 32x32 color images from 10 different classes.
User: abixnash
cifar10-classification,CIFAR-10 Photo Classification
User: adityashah-iitp
cifar10-classification,Image Classification on CIFAR Dataset using CNN
User: amritk10
cifar10-classification,Implementing a neural network classifier for cifar-10
User: ashkanmradi
cifar10-classification,the CIFAR10 dataset
User: baojudezeze
cifar10-classification,
User: batuhan3526
cifar10-classification,Implemeting SVM to classify images with hinge loss and the softmax loss.
User: chandra447
cifar10-classification,使用了 https://github.com/SaeedShurrab/SimSiam-pytorch 作为Simsiam backbone,添加了中文注释和简单的训练过程
User: da-da-di
cifar10-classification,Train Basic Model on CIFAR10 Dataset - 🎨🖥️ Utilizes CIFAR-10 dataset with 60000 32x32 color images in 10 classes. Demonstrates loading using torchvision and training with pretrained models like ResNet18, AlexNet, VGG16, DenseNet161, and Inception. Notebook available for experimentation.
User: debugger404
cifar10-classification,A step-by-step implementation of a ResNet-18 model for image classification on the CIFAR-10 dataset
User: deepmancer
cifar10-classification,To evaluate the performance of each regularization method (cutout, mixup, and self-supervised rotation predictor), we apply it to the CIFAR-10 dataset using a deep residual network with a depth of 20 (ResNet20)
User: fitushar
cifar10-classification,Tensorflow-based Object Detection on the CIFAR-10 dataset, served with FastAPI
User: iobruno
cifar10-classification,This project is one of the Computational Intelligence course projects in the spring of 2023, and it includes code related to training neural networks with gradient descent, training neural network using neuroevolution, Neural Architecture Search (NAS), and Self-Organizing Maps (SOM)
User: kianmajl
cifar10-classification,This repository contains code to solve different tasks related to building, training and creating adversarial examples for classification models on the MNIST and CIFAR10 datasets.
User: kyriakospsa
cifar10-classification,
User: mahdinavaei
cifar10-classification,The project is based on datasets from various sectors namely finance, health, industrial, crime, education, social media, biology, product and multimedia from the UCI repository and Kaggle. Trained and evaluated 8 classification methods across 10 classification datasets, 7 regression methods across 10 regression datasets and 2 classification methods (Convolutional Neural Network and Decision Tree Classifier).
User: mananp96
cifar10-classification,ConvMixer - Patches Are All You Need?
Organization: matlab-deep-learning
Home Page: https://www.mathworks.com/products/deep-learning.html
cifar10-classification,Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
User: melihgulum
cifar10-classification,Pytorch Projects for learning purpose
User: mevk-7
cifar10-classification,Implemented the Deep Residual Learning for Image Recognition Paper and achieved better accuracy by customizing different parts of the architecture.
User: moddy2024
cifar10-classification,Implemented Deep Residual Learning for Image Recognition Paper and achieved lower error rate by customizing different parts of the architecture.
User: moddy2024
cifar10-classification,Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
User: moddy2024
cifar10-classification,Разработка сверточной нейронной сети для классификации изображений
Organization: mtuci-labs
cifar10-classification,A guide on custom implementation of metric, logging, monitoring, and lr schedule callbacks in Keras
User: mvp18
cifar10-classification,Создание и обучение сверточной нейронной сети (CNN) для классификации изображений из набора данных CIFAR-10 с аугментацией и предотвращением переобучения
User: nightinsight
cifar10-classification,This repository consists of Lab Assignments for course Machine Learning for Data Mining.
User: nishi1612
cifar10-classification,contains exercise solution
User: p-rit
cifar10-classification,:star: Make Once for All support CIFAR10 dataset.
User: pprp
cifar10-classification,Implementation of Conv-based and Vit-based networks designed for CIFAR.
User: pprp
cifar10-classification,This repository contains all the work I have done during the course Deep Learning with PyTorch : Zero to GANs under Jovian.ai.
User: priyanshu-kr
cifar10-classification,CapsNet models
User: quicklearner171998
cifar10-classification,The cifar10 classification project completed by tensorflow, including complete training, prediction, visualization, independent of each module of the project, and convenient expansion.
User: ranjiewwen
cifar10-classification,Demonstrated some basic CNN models using CIFAR 10
User: raptormai
cifar10-classification,Machine Learning
User: saba-heidari
cifar10-classification,Applied K-Nearest Neighhbor (KNN) Classifier on Cifar10 Dataset
User: sameetasadullah
cifar10-classification,Applied Softmax Classifier on Cifar10 Dataset
User: sameetasadullah
cifar10-classification,Applied Support Vector Machine (SVM) Classifier on Cifar10 Dataset
User: sameetasadullah
cifar10-classification,This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
User: shanmukhsrisaivedullapalli
cifar10-classification,CIFAR-10 Classification
User: simrann20
cifar10-classification,Repo for classification problem for CIFAR-10 dataset
User: souravs17031999
cifar10-classification,Hybrid Networks: Improving Deep Learning via Integrating Two Views of Images, ICONIP'18
User: sverma88
cifar10-classification,Various approaches to classify CIFAR10
User: tmuthuganesan
cifar10-classification,LeNet5 architecture implementation using pytorch, network parameter optimization and performance evaluation on dataset with Symmetric Label Noise
User: vishalp227
cifar10-classification,Deep Learning Projects
User: volkansonmez
cifar10-classification,A summarization of the course Deep Learning with PyTorch at Jovian.
User: vuanhtuan1012
cifar10-classification,PyTorch implementation of "Learning Loss for Active Learning"
User: yeonghyeon
cifar10-classification,PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
User: ylsung
cifar10-classification,building a neural network classifier from scratch using Numpy
User: zahramajd
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