TorontoDeepLearning-convnet-981771b
所属分类：matlab编程
开发工具：matlab
文件大小：16080KB
下载次数：168
上传日期：2014-12-01 13:47:14
上 传 者：
spy78111
说明： 深度学习模型代码，包括rbm,grbm,卷积rbm，学习深度模型的好材料
(Deep learning model code, including RBM, grbm, RBM convolutional depth model, a good learning materials)
文件列表:
TorontoDeepLearning-convnet-981771b (0, 2014-10-16)
TorontoDeepLearning-convnet-981771b\INSTALL (1896, 2014-10-16)
TorontoDeepLearning-convnet-981771b\LICENSE.txt (1324, 2014-10-16)
TorontoDeepLearning-convnet-981771b\Makefile (2996, 2014-10-16)
TorontoDeepLearning-convnet-981771b\bin (0, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cpu (0, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cpu\Makefile (1401, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cpu\convnet_cpu.cc (12024, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cpu\convnet_cpu.h (3179, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cpu\cpuconv.cc (10966, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cpu\cpuconv.h (2713, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cpu\extract_representation_cpu.cc (3741, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat (0, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\Makefile (846, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\__init__.py (22, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat.cu (96783, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat.cuh (12481, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat.py (62872, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv.cuh (3833, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv.py (8610, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_filteracts.cu (158265, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_imgacts.cu (187698, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_others.cu (193970, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_util.cu (1875, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_util.cuh (2897, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_weightacts.cu (227172, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_kernels.cu (70249, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\cudamat_kernels.cuh (14612, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\gpu_lock2.py (7978, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\rnd_multipliers_32bit.h (192369, 2014-10-16)
TorontoDeepLearning-convnet-981771b\cudamat\run_on_me_or_pid_quit (677, 2014-10-16)
TorontoDeepLearning-convnet-981771b\deps (0, 2014-10-16)
TorontoDeepLearning-convnet-981771b\deps\CImg (0, 2014-10-16)
TorontoDeepLearning-convnet-981771b\deps\CImg\CImg.h (2296973, 2014-10-16)
TorontoDeepLearning-convnet-981771b\deps\CImg\Licence_CeCILL-C_V1-en.txt (21902, 2014-10-16)
TorontoDeepLearning-convnet-981771b\deps\CImg\Licence_CeCILL_V2-en.txt (21130, 2014-10-16)
... ...
### Welcome to ConvNet.
ConvNet is a fast C++ based GPU implementation of Convolutional Neural Nets.
- Supports Multi-GPU architectures (Multiple GPUs, Single machine).
- Provides a fast CPU-only feature extractor.
### Installation
[Install guide] (https://github.com/torontodeeplearning/convnet/blob/master/INSTALL)
### Pre-trained Models
Pre-trained models and examples for training and feature extraction are provided for
- [Imagenet Classification (ILSVRC 2013)](https://github.com/torontodeeplearning/convnet/tree/master/examples/imagenet)
- [MNIST](https://github.com/torontodeeplearning/convnet/tree/master/examples/mnist)
### Tutorials
Coming soon.
### Documentation
[here](http://torontodeeplearning.github.io/convnet/docs)
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