Network with parallel connections GoogLeNet / Inception V3 hands-on deep learning v2 pytorch

Enterprise 2022-04-20 05:40:29 views: null

1. GoogLeNet with parallel connections

The first neural network can do more than 100 layers.
insert image description here

insert image description here
The name of the Inception block, taken from Inception, is to go deeper and deeper into the dream.

insert image description here
Inception reduces the number of parameters and reduces the amount of computation. It is smaller than convolution with 3x3 Conv and 5x5 Conv directly.

insert image description here

https://cv.gluon.ai/model_zoo/classification.html

Inception V3 accuracy is much higher than VGG, from 0.7 to close to 0.8, the memory will be much larger and more complicated.
Mushen's network ResNeSt: Split-Attention Networks is the most accurate on this graph.
insert image description here

2. Code implementation

insert image description here

3. Q&A

1. 1 x 1 Conv convolution is to reduce the number of channels channel
1. The deeper the convolutional layer, the more features are learned.

reference

https://www.bilibili.com/video/BV1b5411g7Xo?p=1

Guess you like

Origin blog.csdn.net/zgpeace/article/details/124162617

Network with parallel connections GoogLeNet / Inception V3 hands-on deep learning v2 pytorch

Deep learning face questions 29: GoogLeNet (Inception V3)

CNN deep convolutional neural network AlexNet hands-on deep learning v2 pytorch

Network in the network NiN hands-on deep learning v2 pytorch

Hands-on deep learning v2 pytorch using block network VGG

Classic convolutional neural network LeNet hands-on deep learning v2 pytorch

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

Deep neural network hardware GPU single machine multi-card parallel hands-on deep learning v2

2. CNNs network architecture - convolution separation network architecture (VGGNet, GoogLeNet, GoogleNet v2, GoogleNet v3, GoogleNet v4, Inception-ResNet)

hands-on deep learning v2 p2 linear neural network linear regression

Multi-layer perceptron + code implementation - hands-on deep learning v2 pytorch

Softmax regression + loss function + image classification dataset hands-on deep learning v2 pytorch

Dropout drop method hands-on deep learning v2 pytorch

Weight decay Weight Decade hands-on deep learning v2 pytorch

Padding and stride stride in convolutional layers hands-on deep learning v2 pytorch

Actual Kaggle Competition: Dog Breed Recognition (ImageNet Dogs) Hands-on Deep Learning v2 pytorch

Object detection object detection object recognition and coco dataset hands-on deep learning v2 pytorch

MXNet hands-on deep learning notes: GoogLeNet neural network implementation

Depth articles - classic History of Deep Learning Network model (five) GoogleNet elaborate structure and characteristics (including v1, v2, v3)

Numerical stability gradient explosion gradient disappearance + model initialization and activation function hands-on deep learning v2 pytorch

Multi-input multi-output channel channel in CNN convolutional layer hands-on deep learning v2 pytorch

(9) PyTorch deep learning: convolutional neural network (the inception module module in the GoogleNet network architecture is the convolutional neural network architecture)

Deep Learning Hardware: CPU and GPU Hands-on Deep Learning v2

1. [Hands-on Deep Learning v2] Introduction to Deep Learning

3. [Hands-on deep learning v2] installation environment

hands-on deep learning v2 p1 introduction supervised learning vs unsupervised learning

Hands-on deep learning V2 - Li Mu (problems encountered in learning)

02|Li Mu hands-on learning deep learning v2 (notes)

Hands-on deep learning-pytorch version (2): linear neural network

Batch Normalization Batch Normalization Hands-on Deep Learning v2

Recommended

The United States plans to restrict the export of large AI models to China and Russia

Apple to reach agreement with OpenAI to bring ChatGPT to iPhone

Ranking

whisper-webui installation tutorial is silky and easy to use

[Base] Laravel concepts laravel basis, the custom service provider: Contracts, ServiceContainer, ServiceProvider, Facades relations

Import torchvision error problem solving DLL: module not found

observer & watch & notify = pub & sub

A small turntable program [HTML + CSS + JS]

CorelDRAW 2018 shortcuts Daquan

Supervise el botón de menú para lograr un gatillo de presión prolongada

JS将时间秒转换成天小时分钟秒的字符串

RIP basic configuration

[Deleted] solution to a problem a few questions (Noip1994)

Daily

More

2024-05-11(32)

2024-05-10(34)

2024-05-09(32)

2024-05-08(18)

2024-05-07(34)

2024-05-06(6)

2024-05-05(0)

2024-05-04(18)

2024-05-03(8)

2024-05-02(0)