NLP text classification learning notes 5: text classification with attention

The content of this section is somewhat abstract, and you may not understand it in place or make some mistakes. Please refer to it critically seq2seq It is divided into encoder and decoder, as shown in the figure below. Each part can use CNN, RNN, LSTM and other models. Input 2 is optional for different situations. The model is widely used in t ...

Posted by gentusmaximus on Fri, 08 Apr 2022 05:43:49 +0300

Kaggle series - Russia property price forecast top 1% (22 / 3270) scheme summary

Kaggle series - Russia property price forecast top 1% (22 / 3270) scheme summary Originality to Great official account Join this immersive learning together. The shared scheme basically covers the basic process of structured data competition: data analysis, data preprocessing, feature engineering, model training and model fusion. You can ...

Posted by Bourgeois on Wed, 06 Apr 2022 01:34:43 +0300

China Mobile integration - resumption of the first OneCity Programming Competition

China Mobile integration - resumption of the first OneCity Programming Competition Official account: ChallengeHub Competition link: https://js.dclab.run/v2/cmptDetail.html?id=457 Code link of this article: https://github.com/yanqiangmiffy/One-City-Challenge/tree/master/code 1. Competition background The theme of this OneCity programming co ...

Posted by Arsench on Tue, 05 Apr 2022 22:18:36 +0300

Machine learning perceptron realizes and, or, NAND gate and XOR gate

Machine learning - perceptron what is perceptron Application example of single layer perceptron Multilayer perceptron   what is perceptron The perceptron receives multiple input signals and outputs one signal. The perceptron that receives two signals is shown as follows: x1 and x2 are input signals; y is the output signal; w ...

Posted by tomz0r on Tue, 05 Apr 2022 09:13:15 +0300

Machine learning notes - use CNN and LSTM to generate text descriptions for images

1, Task description Seeing an image, your brain can easily distinguish what the image is about, but can the computer distinguish the content represented by the image? With the progress of deep learning technology, the availability of large data sets and computer capabilities, we can build models that can generate descriptions for images. The ...

Posted by kayess2004 on Mon, 04 Apr 2022 04:30:36 +0300

Python opencv learning notes: judging whether it is foggy and image visibility measurement

introduction This article is a question about visibility in foggy days recently. After consulting a lot of data, I recorded the thinking process, summarized it and classified it into notes. The main reference material is Huawei cup 2020 E thesis, which has been improved and extended in combination with its own actual situation. The literature ...

Posted by TheMayhem on Sun, 03 Apr 2022 07:31:21 +0300

Key annotation and key point thermal map one click generation tool

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface According to the previous work plan, the camera is used to collect data and train the neural network to predict the feature points of the object. The current idea is to use FCN or ...

Posted by whoisKeel on Sun, 03 Apr 2022 04:14:47 +0300

Learning machine learning - practice training model (image segmentation, cell image)

Image segmentation - cell image Based on Pytorch, UNET model Model learning comes from: (thank you for such a detailed article) https://github.com/Jack-Cherish/Deep-Learning Other websites: (1) pytorch novice tutorial https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html (2) UNET paper https://arxiv.org/pdf/1505.04597.pdf (becau ...

Posted by globetrottingmike on Sun, 03 Apr 2022 03:15:30 +0300

Weekly report from March 28, 2022 to April 3, 2022

abstract The first part of the paper is spatio-temporal sequence meteorological prediction, which involves deep problems such as sphere manifold, geometric space mapping and so on. Based on some prior knowledge, it makes data mining and other analysis for environmental data. The second part studies the basic knowledge of GAN. Reading lite ...

Posted by yogadt on Sat, 02 Apr 2022 18:44:19 +0300

Practical cases of in-depth learning: two categories of film reviews

The first practical case of in-depth learning: classification of film reviews Official account: machine learning grocery storeAuthor: PeterEditor: Peter Hello, I'm Peter~ This is Machine Learning Grocery~ The case of this paper explains an important problem in machine learning: classification. This paper is a practical case in Python ...

Posted by Minase on Sat, 02 Apr 2022 18:13:36 +0300