zoukankan      html  css  js  c++  java
  • [notes] ImageNet Classification with Deep Convolutional Neual Network

    Paper:
    ImageNet Classification with Deep Convolutional Neual Network


    Achievements:
    The model addressed by Alex etl. achieved top-1 and top-5 test error rate of 37.5% and 17.0% of classifying the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes.


    Model Architecture:


    model architecture plot:


    contains eight learned layers five convolutional and three fully-connected.
    The kernels of the second, fourth, and fifth convolutional layers are connected only to those kernel maps in the previous layer which reside on the same GPU. The kernels of the third convolutional layer are connected to all kernel maps in the second layer.
     
    Response-normalization layers follow the first and second convolutional layers. Max-pooling layers, of the kind described in Section 3.4, follow both response-normalization layers as well as the fifth convolutional layer. The ReLU non-linearity is applied to the output of every convolutional and fully-connected layer.


    Interesting Points:
    ReLU Nonlinearity: speed-up, six times faster than an equivalent network with tanh neurons.
    Overlapping Pooling: enhance accuracy and prevent overfitting, reduces the top-1 and top-5 error rates by 0.4% and 0.3%; training model with overlapping pooling find it slightly more difficult to overfit.

    Dropout:prevent overfitting, reduces complex co-adaptations of neurons, since a neuron cannot rely on the presence of particular other neurons. It is, therefore, forced to learn more robust features that are useful in conjunction with many different random subsets of the other neurons.



  • 相关阅读:
    poj 2021
    树状数组的修改+查询
    poj 1182
    windows网络模型之重叠IO(完成例程)的使用
    windows网络模型之重叠IO的使用
    python解析HTML之:PyQuery库的介绍与使用
    windows 网络通讯模型Overlapped (转)(未看)
    (转)写的非常好的一篇HTTP协议详解
    (转)Wireshark基本介绍和学习TCP三次握手
    http中COOKIE和SESSION有什么区别?(转知乎)
  • 原文地址:https://www.cnblogs.com/mengfanrong/p/3789287.html
Copyright © 2011-2022 走看看