Pytorch: Target Detection Network-FPN

Pytorch: Target Detection-Feature Pyramid-FPN Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology Pytorch Tutorial Column Link This tutorial is not commercial and is only for learning and reference exchange. If you need to reproduce it, ...

Added by magicmoose on Wed, 16 Feb 2022 19:24:48 +0200

FedAvg, the basic algorithm of Federated learning based on PyTorch

1. Foreword In a previous blog Code implementation of federal learning basic algorithm FedAvg Using numpy hand built neural network to realize FedAvg, the effect of hand built neural network has been very excellent, not II. Data introduction There are multiple clients in federated learning. Each client has its own data set, which they are u ...

Added by nakins on Tue, 15 Feb 2022 17:59:41 +0200

Python identification verification code -- Digital beauty icon Click

Write in front Recently, there was an uproar in the script circle when the news that a crowd coding platform was run away came out (I'm not in the script circle, I just like to watch the people in the group blow and force), as if I could never hear the familiar advertising language again. This also indicates that the third-party coding pla ...

Added by punk3d on Sun, 13 Feb 2022 16:51:03 +0200

Interpretation of longform code structure

While longformer extends maxlen, there are many structural difficulties, which are gradually analyzed here. _ sliding_ chunks_ query_ key_ Structural transformation in matmul function The hardest thing to understand here is these sentences query_size = list(query.size()) query_size[1] = query_size[1]*2-1 query_stride = list(query.stride( ...

Added by throx on Sat, 12 Feb 2022 16:54:24 +0200

[machine learning] WGAN theory and code analysis based on pytoch

catalogue 1. There is a problem with the original GAN 2 WGAN principle 3 code understanding GitHub source code Reference article: Amazing Wasserstein GAN - Zhihu (zhihu.com) 1. There is a problem with the original GAN In practical training, GAN has some problems, such as difficult training, the loss of generator and discriminator can no ...

Added by kristo5747 on Sat, 12 Feb 2022 15:40:29 +0200

pytorch learning record III

1. Neural network: build small actual combat and use Sequential Take CIFAR10 model as an example import torch import torchvision from tensorboardX import SummaryWriter from torch import nn from torch.nn import ReLU, Sigmoid, Linear, Conv2d, MaxPool2d, Flatten from torch.utils.data import DataLoader class test_cifar(nn.Module): def _ ...

Added by jmcall10 on Sat, 12 Feb 2022 02:04:20 +0200

Word2vec (skip gram and CBOW) - PyTorch

Word vector is a vector used to express the meaning of words, and can also be regarded as the feature vector of words. The technology of mapping words to real vectors is called word embedding. 1, Word embedding (Word2vec) The unique heat vector can not accurately express the similarity between different words. word2vec is proposed to so ...

Added by j0n on Fri, 11 Feb 2022 13:14:28 +0200

8 Python libraries that can improve the efficiency of data science and save valuable time

In data science, you may waste a lot of time coding and waiting for the computer to run something. So I chose some Python libraries that can help you save valuable time.1,OptunaOptuna is an open source hyperparametric optimization framework, which can automatically find the best hyperparameters for machine learning models.The most basic (and po ...

Added by Horatiu on Fri, 11 Feb 2022 08:29:27 +0200

The underlying storage mode of tensor in Python, dimension transformation, permute/view/reshape, dimension size and number

Record the underlying storage mode of tensor in pytorch, dimension transformation, permute/view/reshape, dimension size and number. The underlying storage mode of tensor The underlying storage of tensor is based on the principle of row priority, such as: >>import torch >>a=tensor.rand((2,2,3)) >>a tensor([[[0.1345,0.4907,0. ...

Added by racerxfactor on Thu, 10 Feb 2022 09:54:12 +0200

Attention is All You Need paper notes and pytorch code Notes

Self reference Li Mu read the paper and pytorch code I don't understand residual networkPosition-wiseLayer normEncoder attention Parameter setting ## dimension d_model = 512 # Dimensions of sub layers, embedding layers and outputs (an addition operation to make use of residual connection) d_inner_hid = 2048 # Dimension of Feed Forward(MLP) ...

Added by lyasian on Wed, 09 Feb 2022 17:29:29 +0200