Programming VIP

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 ...

Medical imaging Medical image refers to the technology and processing process of obtaining internal tissue image of human body or part of human body in a non-invasive way for medical treatment or medical research. At present, the main processing methods include: X-ray imaging (X-ray), computed tomography (CT ...

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 _ ...

General introduction The project is mainly based on github project Introduce how to access TIPC and how to support serving. For more information about the original project, please see readme Understand MD. In addition, you can also refer to the official TIPC and Serving To connect your own model to TIPC and serve support. TIPC basic chain &c ...

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 ...

Word2vec of recommendation system Objective: in the tasks related to natural language processing, we should hand over the natural language to the algorithm in machine learning. Usually, we need to mathematicize the language, because the machine is not a human, and the machine only recognizes mathematical symbols. Vectors are things that people ...

After the PaddleX model is deployed in C + +, Python calls and reads the data returned from the dll Tip: you can add the directories of all articles in the series here. You need to add the directories manually For example: the first chapter is the use of pandas, an introduction to Python machine learning Tip: after writing the article, the ...

Case 1 (happiness prediction) Background introduction Happiness involves philosophy, psychology, sociology, economics and other disciplines. At the same time, it is closely related to everyone's life. Everyone has his own measurement standard for happiness. If we can find the commonalities that affect happiness and find the policy factors tha ...