skloisMary / cifar10-CNN

Related projects: ⓘ

• Cloudox / Cifar10-Classify
  用Keras搭建多种模型和优化方式训练cifar10分类
  ☆26Updated 5 years ago
• azy1988 / ML-CV
  机器学习实战
  ☆147Updated last year
• skloisMary / demo-Network
  AlexNet，GoogleNet，VGG和ResNet网络架构的demo示例
  ☆22Updated 5 years ago
• Bugdragon / YOLO_v3_PyTorch
  使用PyTorch实现基于YOLOv3的目标检测器
  ☆61Updated 6 years ago
• subicWang / HOG-SVM-classifer
  For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.
  ☆41Updated 4 years ago
• zyf-xtu / pytorch_models
  CNN经典网络结构复现：LeNet5、AlexNet、VGG、ResNet、InceptionNet等。
  ☆78Updated 3 years ago
• serryuer / minst-classification
  基于Pytorch实现AlexNet\RestNet34，手写数字识别
  ☆19Updated last year
• CHNicelee / HOG_SVM
  使用HOG+SVM进行图像分类
  ☆157Updated 5 years ago
• minar09 / VGG16-PyTorch
  VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
  ☆85Updated 4 years ago
• Lornatang / pytorch-alexnet-cifar100
  Cifar100 in alexnet network model under the highest accuracy
  ☆21Updated 4 years ago
• JosieHong / CNNs_for_classifing_CIFAR10
  An implement of LeNet, AlexNet, VGG16, GoogLeNet and ResNet with Tensorflow.
  ☆33Updated 5 years ago
• duchp / python-all
  all code used by python(including web-crawler,deeplearning)
  ☆28Updated 3 years ago
• hujunxianligong / Tensorflow-CNN-Tutorial
  ☆199Updated 6 years ago
• outman123 / tensorflow
  该工程基于Python3.6，tensorflow1.6。主要是对tensorflow框架进行认识，实践和应用，快速掌握tf在深度学习上的使用，包括线性模型，minist数据集分类，Tensorboard，CNN，LSTM，图像识别网络inception-v3，多任务学习以…
  ☆63Updated 4 years ago
• fengjiqiang / Pretrained_Model_Pytorch
  pytorch pretrained model — resnet, densenet, inception, vgg, squeezenet, alexnet
  ☆70Updated 5 years ago
• hechaonjau / SVM
  用SVM支持向量机方法，经过LBP特征提取实现二分类
  ☆9Updated 5 years ago
• LSayhi / DeepLearning
  Project
  ☆55Updated 5 years ago
• tz28 / deep-learning
  personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout，…
  ☆216Updated 5 years ago
• persistforever / cifar10-tensorflow
  cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率
  ☆557Updated 6 years ago
• MaisyZhang / kaggle-dogs-vs-cats
  基于Keras实现Kaggle2013--Dogs vs. Cats12500张猫狗图像的精准分类
  ☆77Updated 5 years ago
• LiMingda92 / VGG16_TF
  简单实现VGG16
  ☆57Updated 6 years ago
• bubbliiiing / classic-convolution-network
  里面会保存许多优秀的卷积神经网络结构，这些结构可以帮助我们更好的设计网络。
  ☆138Updated 3 years ago
• so-coolboy / traffic_sign_classfication
  使用cNN对交通标志进行分类
  ☆11Updated 6 years ago
• zheng-yuwei / PyTorch-Image-Classification
  基于PyTorch框架实现的图像分类网络
  ☆75Updated 3 years ago
• gzshan / dogsVScats
  图像二分类问题 猫狗大战 pytorch CNN
  ☆116Updated 5 years ago
• msyim / VGG16
  A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv…
  ☆178Updated 4 years ago
• Perseus1996 / resnet-for-ur-own-data
  Python/Tensorflow
  ☆14Updated 5 years ago
• yhlleo / cifar10Dataset
  Create your own dataset with the similar format with CIFAR10 in python version.
  ☆87Updated 6 years ago
• tectal / Digital-Image-Processing-Project
  数字图像处理大作业，图像细粒度分类，CUB-200-2011，Peking University
  ☆58Updated 6 years ago
• Byronnar / image_classfication
  基于无监督学习，无需训练，先使用SIFT算法提取图像特征，再使用KMeans聚类算法进行图像分类，速度非常快，精度还在提高。
  ☆114Updated 4 years ago