Network in Network----Global Average Pooling - Code World

Network in Network----Global Average Pooling

Others 2022-04-22 23:07:07 views: 0

1. Structure

Each feature map is a whole image for global mean pooling, and each feature map gets an output, corresponding to an output category. For example, for the CIFAR-100 classification task, the output channel of the last layer of Mlpconv can be directly set to 100, and the global average pooling is performed on each Feature Map to obtain a 100-dimensional output vector.

2. Function

1. GAP does not require parameters, but the fully connected layer requires a large number of parameters.

2. GAP can reduce over-fitting because there are few parameters

3. GAP summarizes spatial information, which can better adapt to spatial transformation

Guess you like

Origin http://43.154.161.224:23101/article/api/json?id=325297944&siteId=291194637

Network in Network----Global Average Pooling

Network in Network----Global Average Pooling

Global Average Pooling

Network in Network (2013), 1x1 convolution with Global Average Pooling

tensorflow realizes global average pooling

Detailed explanation of GAP global average pooling

Section 12, CIFAR dataset classification using CNN with global average pooling layer (queue operation) Section 16, AlexNet network implementation of convolutional neural network (6)

Section 13, Classification of CIFAR10 dataset using CNN with global average pooling layer Section 16, AlexNet network implementation of convolutional neural network (6) Section 16, AlexNet network implementation of convolutional neural network ( six)

Convolution neural network - pooling Summary

Neural network CNN pooling layer

Pooling operation of graph neural network

Global Average Pooling Analysis alternatively the whole connection layer (rpm)

Convolutional Neural Network-Pooling Operation

What is the use of the pooling layer of the CNN network?

Convolutional Neural Network CNN-pooling layer

Neural Network: Pooling Layer Knowledge Points

[cv] Pooling (maximum pooling Maxpool, average pooling Averagepool, random pooling randpool) and anti-pooling

CNN convolutional neural network pooling layer Pooling hands-on deep learning v2 pytorch

pytorch uses convolution to represent average pooling

Notes - convolution Network: All connection pooling nuclear convolution kernel

Convolutional Neural Network Study Notes and Experience (4) Pooling

Convolution operation, pooling operation, activation function of convolutional neural network (CNN)

池化操作average pooling、max pooling、SoftPool、Spatial Pyramid Pooling（SPP）

Network optimization engineers are employed! The average salary is 8509.6 yuan!

Deep Eyes Pytorch clocking (16): Pytorch convolutional neural network components-pooling, de-pooling and other layers

Global Pooling – Pytorch

Pytorch average pooling nn.AvgPool2d() usage record

Depth articles - CNN convolutional neural network (b) elaborate pooled (pooling) and anti pooled (unpooling)

Depth articles - CNN convolutional neural network (C) ROI pooling and ROI Align interpolation on

Fine-grained facial expression recognition based on multi-scale hierarchical bilinear pooling network

Recommended

Ranking

git ，已经提交到git上的一个文件，想要忽略，在.gitignore添加了却不起作用

[Android -- soft skills] share a learning method

018-virtualenv creates python2/3 virtual environment installation and usage notes

Use the Lim test platform to quickly complete batch number creation

Springboot&Springcloud interview questions (including code and display diagram)

Common Components

03-Operation in numpy.array

Use PotPlayer to check the CPU and GPU usage when soft and hard decoding 4K HD videos

linux control history command history

Minio usage and integration starting dependencies

Daily

More

2024-05-28(1)

2024-05-27(1)

2024-05-26(0)

2024-05-25(3)

2024-05-24(12)

2024-05-23(35)

2024-05-22(9)

2024-05-21(35)

2024-05-20(5)

2024-05-19(0)