JosieHong / CNNs_for_classifing_CIFAR10Links
An implement of LeNet, AlexNet, VGG16, GoogLeNet and ResNet with Tensorflow.
☆34Updated 6 years ago
Alternatives and similar repositories for CNNs_for_classifing_CIFAR10
Users that are interested in CNNs_for_classifing_CIFAR10 are comparing it to the libraries listed below
Sorting:
- High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.☆123Updated 6 years ago
- Create your own dataset with the similar format with CIFAR10 in python version.☆87Updated 7 years ago
- Visualization CNN model by Keras.☆73Updated 6 years ago
- practice on CIFAR10 with Keras☆43Updated 6 years ago
- VGG16 models for CIFAR-10 and CIFAR-100 using Keras☆226Updated 3 years ago
- 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☆570Updated 6 years ago
- here is my implementation of the basic googLeNet describe in the paper "Going Deeper with Convolutions" in keras☆39Updated 7 years ago
- TensorFlow implementation of GoogLeNet and Inception for image classification.☆288Updated 5 years ago
- CNN to classify the cifar-10 database by using a vgg16 trained on Imagenet as base.☆28Updated 6 years ago
- 这是初赛的单任务版本,模型使用了三种Densenet121 , vgg16 , multimodel☆12Updated 7 years ago
- Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU supp…☆169Updated 6 years ago
- Grad-CAM implementation in Keras☆19Updated 6 years ago
- tensorflow_alexnet_classify (details http://www.cnblogs.com/vipyoumay/p/7686230.html)☆106Updated 6 years ago
- Simple Tensorflow implementation of pre-activation ResNet18, 34, 50, 101, 152☆181Updated 6 years ago
- 使用cNN对交通标志进行分类☆12Updated 7 years ago
- Implementation of Matthew D. Zeiler's Paper "Visualizing and Understanding Convolutional Neural Networks" [https://cs.nyu.edu/~fergus/pap…☆68Updated 7 years ago
- Cifar-10 CNN implementation using TensorFlow library with 20% error.☆91Updated 5 years ago
- Train DenseNet on Cifar-10 based on Keras☆41Updated 5 years ago
- TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset☆159Updated 6 years ago
- The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).☆178Updated 8 years ago
- YOLO-v2, ResNet-32, GoogLeNet-lite☆34Updated 6 years ago
- data augmentation on python☆35Updated 7 years ago
- tensorflow->BCNN + pytorch -> vgg16/resnet/BCNN☆93Updated 6 years ago
- Udacity Machine Learning Nano Degree Courses☆201Updated 7 years ago
- Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码☆84Updated 4 years ago
- ☆9Updated 7 years ago
- Finetuning AlexNet, VGGNet and ResNet with TensorFlow☆198Updated 4 years ago
- Cifar100 in alexnet network model under the highest accuracy☆22Updated 5 years ago
- It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …☆38Updated 6 years ago
- Implementation of Grad CAM in tensorflow☆249Updated 3 years ago