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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, ...

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 ...

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 ...

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( ...

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 ...

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 _ ...

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 ...

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 ...

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. ...

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) ...