Pinned Repositories
awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
CS-Books
超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
cs231n.github.io
Public facing notes page
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
keras-applications
Reference implementations of popular deep learning models.
matconvnet-transfer-learning
使用matlab和迁移学习对SAR图像分类
Matlab-Deep-Learning-Toolbox-CNN-Water-image-recognition
基于matlab深度学习工具箱来设计卷积神经网络用来对图像上的水体部分进行识别，并生成水体陆地二值化图像。采用的是9层卷积神经网络用来对图像进行特征提取和分类，水体识别的准确率可以达到96%以上。
MATLAB-neural-network-43-case-studies-Code
matlab神经网络43个案例分析
MATLAB_Algorithm_with_cases
遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等常用智能算法的MATLAB实现
Matlab_deep_learning
《Matlab计算机视觉与深度学习实战》代码
hongxuanwei's Repositories
hongxuanwei/CS-Books
超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
hongxuanwei/awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
hongxuanwei/cs231n.github.io
Public facing notes page
hongxuanwei/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
hongxuanwei/keras-applications
Reference implementations of popular deep learning models.
hongxuanwei/matconvnet-transfer-learning
使用matlab和迁移学习对SAR图像分类
hongxuanwei/Matlab-Deep-Learning-Toolbox-CNN-Water-image-recognition
基于matlab深度学习工具箱来设计卷积神经网络用来对图像上的水体部分进行识别，并生成水体陆地二值化图像。采用的是9层卷积神经网络用来对图像进行特征提取和分类，水体识别的准确率可以达到96%以上。
hongxuanwei/MATLAB-neural-network-43-case-studies-Code
matlab神经网络43个案例分析
hongxuanwei/MATLAB_Algorithm_with_cases
遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等常用智能算法的MATLAB实现
hongxuanwei/Matlab_deep_learning
《Matlab计算机视觉与深度学习实战》代码
hongxuanwei/mini_project-for-CIFAR10
Using self-written ResNet18 to classify CIFAR10. It includes Tensorflow and Keras versions.
hongxuanwei/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
hongxuanwei/resnet-18
Repo for ResNet-18
hongxuanwei/resnet-50
Repo for ResNet-50
hongxuanwei/resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
hongxuanwei/ResNeXt
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
hongxuanwei/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
hongxuanwei/vision
Datasets, Transforms and Models specific to Computer Vision