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文件名称:caffe

  • 所属分类：
    AI-NN-PR
  • 标签属性：
    [Matlab] [源码]
  • 上传时间：
    2014-03-06
  • 文件大小：
    5.91mb
  • 已下载：
    0次
  • 提 供 者：
    王***
  • 相关连接：
    无
  • 下载说明：
    别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

一种设计的卷积神经网络用于图像特征的快速提取，并可以根据环境自行选择是否使用GPU-Design of a convolution neural networks for image feature extraction fast, and you can choose whether to use the GPU itself according to the environment
(系统自动生成,下载前可以参看下载内容)

下载文件列表

caffe-master/
caffe-master/.gitignore
caffe-master/LICENSE
caffe-master/Makefile
caffe-master/Makefile.config
caffe-master/README.md
caffe-master/caffe.cloc
caffe-master/data/
caffe-master/data/get_mnist.sh
caffe-master/data/lenet.prototxt
caffe-master/data/lenet_solver.prototxt
caffe-master/data/lenet_test.prototxt
caffe-master/data/train_mnist.sh
caffe-master/examples/
caffe-master/examples/convert_cifar_data.cpp
caffe-master/examples/convert_imageset.cpp
caffe-master/examples/convert_mnist_data.cpp
caffe-master/examples/demo_compute_image_mean.cpp
caffe-master/examples/dump_network.cpp
caffe-master/examples/finetune_net.cpp
caffe-master/examples/imagenet.prototxt
caffe-master/examples/imagenet_deploy.prototxt
caffe-master/examples/imagenet_solver.prototxt
caffe-master/examples/imagenet_val.prototxt
caffe-master/examples/net_speed_benchmark.cpp
caffe-master/examples/synset_words.txt
caffe-master/examples/test_net.cpp
caffe-master/examples/train_net.cpp
caffe-master/include/
caffe-master/include/caffe/
caffe-master/include/caffe/blob.hpp
caffe-master/include/caffe/caffe.hpp
caffe-master/include/caffe/common.hpp
caffe-master/include/caffe/filler.hpp
caffe-master/include/caffe/layer.hpp
caffe-master/include/caffe/net.hpp
caffe-master/include/caffe/solver.hpp
caffe-master/include/caffe/syncedmem.hpp
caffe-master/include/caffe/util/
caffe-master/include/caffe/util/im2col.hpp
caffe-master/include/caffe/util/io.hpp
caffe-master/include/caffe/util/math_functions.hpp
caffe-master/include/caffe/vision_layers.hpp
caffe-master/matlab/
caffe-master/matlab/caffe/
caffe-master/matlab/caffe/ilsvrc_2012_mean.mat
caffe-master/matlab/caffe/matcaffe.cpp
caffe-master/matlab/caffe/matcaffe_demo.m
caffe-master/python/
caffe-master/python/caffe/
caffe-master/python/caffe/__init__.py
caffe-master/python/caffe/convert.py
caffe-master/python/caffe/drawnet.py
caffe-master/python/caffe/imagenet/
caffe-master/python/caffe/imagenet/__init__.py
caffe-master/python/caffe/imagenet/ilsvrc_2012_mean.npy
caffe-master/python/caffe/imagenet/ilsvrc_2012_synsets.txt
caffe-master/python/caffe/imagenet/ilsvrc_2012_test.txt
caffe-master/python/caffe/imagenet/ilsvrc_2012_train.txt
caffe-master/python/caffe/imagenet/ilsvrc_2012_val.txt
caffe-master/python/caffe/imagenet/power_wrapper.py
caffe-master/python/caffe/imagenet/selective_search_demo.ipynb
caffe-master/python/caffe/imagenet/wrapper.py
caffe-master/python/caffe/proto/
caffe-master/python/caffe/proto/__init__.py
caffe-master/python/caffe/pycaffe.cpp
caffe-master/src/
caffe-master/src/caffe/
caffe-master/src/caffe/blob.cpp
caffe-master/src/caffe/common.cpp
caffe-master/src/caffe/layer_factory.cpp
caffe-master/src/caffe/layers/
caffe-master/src/caffe/layers/bnll_layer.cu
caffe-master/src/caffe/layers/conv_layer.cpp
caffe-master/src/caffe/layers/data_layer.cpp
caffe-master/src/caffe/layers/dropout_layer.cu
caffe-master/src/caffe/layers/flatten_layer.cpp
caffe-master/src/caffe/layers/im2col_layer.cpp
caffe-master/src/caffe/layers/inner_product_layer.cpp
caffe-master/src/caffe/layers/loss_layer.cu
caffe-master/src/caffe/layers/lrn_layer.cpp
caffe-master/src/caffe/layers/lrn_layer.cu
caffe-master/src/caffe/layers/neuron_layer.cpp
caffe-master/src/caffe/layers/padding_layer.cu
caffe-master/src/caffe/layers/pooling_layer.cpp
caffe-master/src/caffe/layers/pooling_layer.cu
caffe-master/src/caffe/layers/relu_layer.cu
caffe-master/src/caffe/layers/softmax_layer.cu
caffe-master/src/caffe/layers/softmax_loss_layer.cu
caffe-master/src/caffe/net.cpp
caffe-master/src/caffe/proto/
caffe-master/src/caffe/proto/caffe.proto
caffe-master/src/caffe/solver.cpp
caffe-master/src/caffe/syncedmem.cpp
caffe-master/src/caffe/test/
caffe-master/src/caffe/test/test_blob.cpp
caffe-master/src/caffe/test/test_caffe_main.hpp
caffe-master/src/caffe/test/test_common.cpp
caffe-master/src/caffe/test/test_convolution_layer.cpp
caffe-master/src/caffe/test/test_data_layer.cpp
caffe-master/src/caffe/test/test_euclidean_loss_layer.cpp
caffe-master/src/caffe/test/test_filler.cpp
caffe-master/src/caffe/test/test_flatten_layer.cpp
caffe-master/src/caffe/test/test_gradient_check_util.hpp
caffe-master/src/caffe/test/test_im2col_layer.cpp
caffe-master/src/caffe/test/test_innerproduct_layer.cpp
caffe-master/src/caffe/test/test_lrn_layer.cpp
caffe-master/src/caffe/test/test_multinomial_logistic_loss_layer.cpp
caffe-master/src/caffe/test/test_neuron_layer.cpp
caffe-master/src/caffe/test/test_padding_layer.cpp
caffe-master/src/caffe/test/test_platform.cpp
caffe-master/src/caffe/test/test_pooling_layer.cpp
caffe-master/src/caffe/test/test_protobuf.cpp
caffe-master/src/caffe/test/test_softmax_layer.cpp
caffe-master/src/caffe/test/test_softmax_with_loss_layer.cpp
caffe-master/src/caffe/test/test_stochastic_pooing.cpp
caffe-master/src/caffe/test/test_syncedmem.cpp
caffe-master/src/caffe/test/test_util_blas.cpp
caffe-master/src/caffe/util/
caffe-master/src/caffe/util/im2col.cpp
caffe-master/src/caffe/util/im2col.cu
caffe-master/src/caffe/util/io.cpp
caffe-master/src/caffe/util/math_functions.cpp
caffe-master/src/caffe/util/math_functions.cu
caffe-master/src/gtest/
caffe

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