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。

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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Yann LeCun推荐!自监督学习、全景FPN...内容平台的四大技术指南

AI科技大本营 2019-05-06 10:51
Facebook CTO Mike Schroepfer 和 Facebook AI 部门的研究科学家 Manohar Paluri 在近日的 F8 大会主题演讲
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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

1吴恩达Meachine-Learing之监督学习和非监督学习

阿小庆 2018-06-24 17:11
介绍监督学习和非监督学习的区别。

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

jixiaohui 2018-01-10 11:37
Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve ve

Identity Mappings in Deep Residual Networks

jixiaohui 2018-01-10 12:10
Deep residual networks have emerged as a family of extremely deep architectures showing compelling accuracy and nice convergence behaviors. In this paper, we analyze the propagation formulations behin

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

One weird trick for parallelizing convolutional neural networks

辉仔 2018-01-10 10:26
I present a new way to parallelize the training of convolutional neural networks across multiple GPUs. The method scales significantly better than all alternatives when applied to modern convolutional

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
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