Convolutional Neural Networks https://www.coursera.org/learn/convolutional-neural-networks/home/welcome There are still something confuse me! working how to paste the jupyter here.................................................... Convolutional Neur…

Learning Goals Understand the convolution operation Understand the pooling operation Remember the vocabulary used in convolutional neural network (padding, stride, filter, ...) Build a convolutional neural network for image multi-class classification…

1 Introduction to Deep Learning 介绍了神经网络的定义,有监督学习,分析了为什么深度学习会崛起 1.1 结构化数据/非结构化数据 结构化数据:有一个确切的数据库,有key-value索引 非结构化数据:音频.图像等.没有确定的结构 1.2 为什么深度学习会兴起 数据规模.算力提升.算法创新 2 Neural Networks Basics 如何把逻辑回归问题当作一个神经网络,如何使用python,如何向量化 2.1 二分类问题 标签0代表不是猫,标签1代表猫 图片信…

今天看到一篇关于检测的论文<SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving>,论文中的效果还不错,后来查了一下,有一个Tensorflow版本的实现,因此在自己的机器上配置了Tensorflow的环境,然后将其给出的demo跑通了,其中遇到了一些小问题,通过查找网络上的资料解决掉了,在这里…

Adit Deshpande CS Undergrad at UCLA ('19) Blog About A Beginner's Guide To Understanding Convolutional Neural Networks Part 2 Introduction Link to Part 1 In this post, we’ll go into a lot more of the specifics of ConvNets. Disclaimer: Now, I do reali…

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking CVPR 2016 本文提出了一种新的CNN 框架来处理跟踪问题.众所周知,CNN在很多视觉领域都是如鱼得水,唯独目标跟踪显得有点“慢热”,这主要是因为CNN的训练需要海量数据,纵然是在ImageNet 数据集上微调后的model 仍然不足以很好的表达要跟踪地物体,因为Tracking问题的特殊性,至于怎么特殊的,且听细细道来. 目标跟踪之所以很少被 C…

http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/ 讲CNN以及其在NLP的应用,非常深入浅出的讲法,好文,mark. When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs were responsible for major breakt…

An Intuitive Explanation of Convolutional Neural Networks https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ Posted on August 11, 2016 by ujjwalkarn What are Convolutional Neural Networks and why are they important? Convolutional Neural…

When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs were responsible for major breakthroughs in Image Classification and are the core of most Computer Vision systems today, from Facebook’s automated pho…

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 论文链接:https://arxiv.org/pdf/1704.04861.pdf 摘要和Prior Work就略了,懒:)   Summary: 总的来说,MobileNet相对于标准卷积过程有以下几点不同: 1) 将标准的卷积操作分为两步:depthwise convolution和pointwise convolution.即…