文件名称：convnet:6.869 最终项目的卷积神经网络
文件大小：66.32MB
文件格式：ZIP
更新时间：2024-07-27 02:11:45
Python
网络 6.869 最终项目的卷积神经网络
【文件预览】：
convnet-master
----ini()
--------MNIST2and3and7Config.ini(356B)
--------MNIST2and3Config_small.ini(350B)
--------MNIST2and3and7Config_twoConv.ini(471B)
--------trained()
--------MultipleConvPoolLayersConfig.ini(401B)
--------MNIST2and3Config.ini(465B)
--------MNIST_10_Config.ini(391B)
--------ToyConvNetConfig.ini(284B)
----.gitignore(689B)
----images()
--------test_imgs()
--------whiteboard_imgs()
--------1conv_imgs()
----src()
--------Test_training_MNIST2and3and7.py(1KB)
--------Test_training_MNIST2and3_small.py(1013B)
--------Test_training_ToyConvNet.py(2KB)
--------fully_connected_batch.py(3KB)
--------Test_Misclassify_10labels_50img_twoconv.py(2KB)
--------visualizeFilters.m(2KB)
--------Test_test_MNIST2and3and7.py(1KB)
--------ConvNet.py(12KB)
--------Test_convolution_full.py(21KB)
--------input_layer_batch.py(956B)
--------pooling.py(4KB)
--------read_mnist.py(3KB)
--------Test_training_MNIST2and3.py(1024B)
--------convolution_full.py(5KB)
--------visualizeActivations.m(2KB)
--------misc.py(493B)
--------layer.py(259B)
--------Test_test_MNIST_100.py(840B)
--------Test_pooling.py(12KB)
--------Test_fully_connected_batch.py(3KB)
--------fully_connected.py(1KB)
--------input_layer.py(668B)
--------Test_Accuracy_10labels_50img_twoconv.py(1KB)
--------extract_mnist.py(841B)
--------Test_training_MNIST_100.py(2KB)
--------convolution.py(3KB)
--------Test_fully_connected.py(3KB)
----tex()
--------paper.tex(30KB)
--------ieee.bst(19KB)
--------Makefile(308B)
--------cvpr.sty(8KB)
--------bib.bib(4KB)
--------botharcs.pdf(53KB)
--------eso-pic.sty(9KB)
--------convtrans.pdf(44KB)
--------misclassify.pdf(57KB)
--------actfilts.pdf(168KB)
--------cvpr_eso.sty(4KB)
--------AccPlot.png(5KB)
----README.md(66B)