[深度学习] DeepLearning ai微专业作业+参考答案+笔记(卷二)

说明： 网易云课堂上吴恩达教授开的深度学习微专业中第二门课改善深层神经网络的课后作业、参考答案和笔记
<qq_41608855> 上传 | 大小：115mb

[深度学习] DeepLearning ai微专业作业+参考答案+笔记(卷一)

说明： 网易云课堂上吴恩达教授开的深度学习微专业中第一门课神经网络和深度学习的课后作业、参考答案和笔记
<qq_41608855> 上传 | 大小：15mb

[机器学习] In-shop Clothes Retrieval Benchmark

说明： In-shop Clothes Retrieval Benchmark evaluates the performance of in-shop Clothes Retrievel. This is a large subset of DeepFashion, containing large pose and scale variations. It also has large diversities, large quantities, and rich annotations, inc
<enxuan> 上传 | 大小：3mb

[机器学习] Fashion Synthesis Benchmark

说明： Fashion Synthesis Benchmark facilitates the studies of generating new clothing images. It includes 78,979 images selected from the In-shop Clothes Benchmark. Each image is associated with several sentences as captions and a segmentation map. If you
<enxuan> 上传 | 大小：1mb

[机器学习] Fashion Landmark Detection Benchmark

说明： Fashion Landmark Detection Benchmark evaluates the performance of fashion landmark detection. This is a large subset of DeepFashion, with diverse and large pose/zoom-in variations. It contains 123,016 number of clothes images; 8 fashion landmarks (b
<enxuan> 上传 | 大小：6mb

[机器学习] Consumer-to-shop Clothes Retrieval Benchmark

说明： Consumer-to-shop Clothes Retrieval Benchmark evaluates the performance of consumer-to-shop Clothes Retrievel. This is a large subset of DeepFashion, containing cross-domain correspondences and variations in the wild. It contains 33,881 number of clo
<enxuan> 上传 | 大小：7mb

[机器学习] Category and Attribute Prediction Benchmark

说明： 2016-08-08 The data and labels of the attribute prediction benchmark are released without encription (password). If Dropbox are not accessable, please download the dataset using Google Drive or Baidu Drive
<enxuan> 上传 | 大小：14mb

[深度学习] 处理BenchMark图片代码（python）

说明： 本代码将benchmark图片中的人物提取出来(去除不相关的背景图像)，分离到三个文件夹(对应原始图，灰度图，伪彩色图)
<qq_42413820> 上传 | 大小：3kb

[机器学习] jester数据集

说明： Dataset 1: Over 4.1 million continuous ratings (-10.00 to +10.00) of 100 jokes from 73,421 users: collected between April 1999 - May 2003. Dataset 2: Over 1.7 million continuous ratings (-10.00 to +10.00) of 150 jokes from 59,132 users: collected be
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[深度学习] 卷积自编码去噪-tensorflow实现

说明： tensorflow下构建三层卷积层，三层反卷积层实现卷积自编码，针对系数为0.5的高斯噪声亦有较好效果，可通过tensorboard查看输入输出图像
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[机器学习] canny边缘检测

说明： 利用canny边缘算子进行图片边缘检测，matlab小程序，1.jpg自己随意选取。
<xinyisummer> 上传 | 大小：324byte

[机器学习] Deep Learning With Python(中文版+英文版+源码)

说明： 名称: Deep Learning With Python 包含: 中文版+英文版+源代码
<noonebirdyou> 上传 | 大小：30mb