文件名称:cuda-convnet-master

  • 所属分类:
  • 数值算法/人工智能
  • 资源属性:
  • [C/C++] [源码]
  • 上传时间:
  • 2015-11-07
  • 文件大小:
  • 163kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 王*
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

基于GPU的 ,深度学习,Python代码-Based on GPU, deep learning, Python Code
(系统自动生成,下载前可以参看下载内容)

下载文件列表





cuda-convnet-master\.gitignore

...................\cmake\findMKL.cmake

...................\.....\findThreads.cmake

...................\CMakeLists.txt

...................\convdata.py

...................\convnet.py

...................\data.py

...................\example-layers\layer-params-18pct.cfg

...................\..............\layer-params-19pct.cfg

...................\..............\layer-params-80sec.cfg

...................\..............\layer-params-conv-local-11pct.cfg

...................\..............\layer-params-conv-local-13pct.cfg

...................\..............\layer-params-example.cfg

...................\..............\layer-params.gc.cfg

...................\..............\layers-18pct.cfg

...................\..............\layers-19pct.cfg

...................\..............\layers-80sec.cfg

...................\..............\layers-conv-local-11pct.cfg

...................\..............\layers-conv-local-13pct.cfg

...................\..............\layers-example.cfg

...................\..............\layers.gc.cfg

...................\gpumodel.py

...................\include\common\matrix.h

...................\.......\......\matrix_funcs.h

...................\.......\......\queue.h

...................\.......\......\thread.h

...................\.......\convnet.cuh

...................\.......\cost.cuh

...................\.......\.udaconv2\conv_util.cuh

...................\.......\.........\cudaconv2.cuh

...................\.......\data.cuh

...................\.......\layer.cuh

...................\.......\layer_kernels.cuh

...................\.......\neuron.cuh

...................\.......\.vmatrix\nvmatrix.cuh

...................\.......\........\nvmatrix_kernels.cuh

...................\.......\........\nvmatrix_operators.cuh

...................\.......\pyconvnet.cuh

...................\.......\util.cuh

...................\.......\weights.cuh

...................\.......\worker.cuh

...................\layer.py

...................\options.py

...................\ordereddict.py

...................\README.rst

...................\shownet.py

...................\.rc\common\CMakeLists.txt

...................\...\......\matrix.cpp

...................\...\convnet.cu

...................\...\cost.cu

...................\...\.udaconv2\CMakeLists.txt

...................\...\.........\conv_util.cu

...................\...\.........\filter_acts.cu

...................\...\.........\img_acts.cu

...................\...\.........\weight_acts.cu

...................\...\data.cu

...................\...\layer.cu

...................\...\layer_kernels.cu

...................\...\neuron.cu

...................\...\.vmatrix\CMakeLists.txt

...................\...\........\nvmatrix.cu

...................\...\........\nvmatrix_kernels.cu

...................\...\pyconvnet.cu

...................\...\util.cu

...................\...\weights.cu

...................\...\worker.cu

...................\util.py

...................\__pycache__\data.cpython-34.pyc

...................\include\common

...................\.......\cudaconv2

...................\.......\nvmatrix

...................\src\common

...................\...\cudaconv2

...................\...\nvmatrix

...................\cmake

...................\example-layers

...................\include

...................\src

...................\__pycache__

cuda-convnet-master

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