读论文-AlignedReID

汪汪汪 2018-05-22 14:55
拜读旷世的论文
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pytorch应用之——纸币识别(一)

飞翔 2019-05-31 17:22
这里数据集一共有39620张,而且背景单一,所以纸币面值的识别不是一个很难的问题。我用resnet18(自己稍微改了一些结构,影响不大)去训练这个数据集,迭代24次可以达到99.96%的精度。

人工智能之机器学习算法体系汇总

no_speaking 2018-06-17 00:24
本文主要梳理了机器学习算法体系,人工智能相关趋势,Python与机器学习,以及结尾的一点感想。
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分类与聚类的区别

no_speaking 2018-06-17 00:47
分类与聚类的区别
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

辉仔 2018-01-10 11:09
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised learning with CNNs has received less attenti

Very Deep Convolutional Networks for Large-Scale Image Recognition

辉仔 2018-01-10 10:31
In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of in

Python学习记录笔记

晓宇咿呀呀 2019-06-15 15:21
学习一门语言 1、了解(特点、应用场景、历史) 2、目的(完成小程序) 3、安装环境 4、基本语法 5、数据存储(分子原子----二进制) 6、面向对象 7、高级特性 8、框架 9、项目 计算机,利用逻辑语言来模拟现实(分子、原子) 逻辑、动作

Learning Transferable Architectures for Scalable Image Recognition

jixiaohui 2018-01-10 15:36
Developing neural network image classification models often requires significant architecture engineering. In this paper, we attempt to automate this engineering process by learning the model architec

Fully Convolutional Networks for Semantic Segmentation

辉仔 2018-01-10 10:46
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-a

Going Deeper with Convolutions

辉仔 2018-01-10 11:12
We propose a deep convolutional neural network architecture codenamed "Inception", which was responsible for setting the new state of the art for classification and detection in the ImageNet Large-Sca
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