搜索资源列表
g13tsr
- 机器学习启蒙实战学习源码，回归模型，分类模型，聚类和相似度模型，推荐系统，深度学习等学习代码。(Machine learning, practical combat learning source,regression model, classification model, clustering and similarity model, recommendation system, depth learning and other learning code.)
vgg16
- 在使用深度神经网络时我们一般推荐使用大牛的组推出的和成功的网络。如最近的google团队推出的BN-inception网络和inception-v3以及微软最新的深度残差网络ResNET。(In the use of deep neural network we generally recommend the use of cattle group launched and successful network. Such as the recent google team launched B
ussrpgimemaintanence
- 一天掌握DFT,简单易懂的英文资料,内有部分代码,推荐学习,()
TensorFlow实战Google深度学习框架
- TensorFlow实战Google深度学习框架，非常详细，推荐实用(TensorFlow real Google deep learning framework, very detailed, recommended practical)
org.eclipse.jface.text_3.5.0.jar
- 机器学习做代码推荐的插件应用时可能会用到的相关的代码包(the file i upload is about the deep lerning and machine learing,i hope that will help more people ,please let me pass ,i need other jar to do my work,thanks)
GudongRecommendation-master
- 基于深度学习和协同过滤算法实现问卷调查内容推荐，通过深度学习中的tensflow构建项目评分矩阵，利用协同过滤算法产生推荐结果。(Based on the depth learning and collaborative filtering algorithm, the content of the questionnaire is recommended. The project score matrix is constructed through the tensflow in depth
Matlab深度学习
- 深入浅出的介绍了机器学习基本原理和使用方法，推荐读一读。(Matlab machine learning ebook)