搜索资源列表
SnOW
- This package provides a Maximum Entropy Modeling toolkit written in C++ with Python binding. It includes: Conditional Maximum Entropy Model L-BFGS Parameter Estimation GIS Parameter Estimation Gaussian Prior Smoothing C++ API
DeepLearningTutorials
- deeplearning.net官网上的deep learning的教程,可以跟着网站上的内容一步一步的进行学习,达到快速入门的效果,是用python实现的-Deeplearning.net website deep learning tutorial, you can follow the content of the website step by step to learn, to achieve the effect of quick start, is made of python i
TensorFlow教程
- Tensorflow编程教程,深度学习技术基础(Tensorflow programming tutorial)
min-char-rnn
- RNN 学习代码,没有借助框架,纯代码实现(This is a RNN demo tutorial, rely on no framework like TF, just write with basic python language)
python
- python基础教程,python实战项目,非常适用的教程,适合初学者(Python basic tutorial, python combat project, very applicable tutorial, suitable for beginners.)
Caffe-Python-Tutorial-master
- 深度学习下的卷积神经网络 剪枝算法 CNN(Deep learning Prune for CNN Deep learning Prune for CNN)
