Transfer Learning

Research on Regional Debris Flow Susceptibility Evaluation Based on Machine Learning

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Research on Regional Debris Flow Susceptibility Evaluation Based on Machine Learning

Debris flow susceptibility evaluation is an important part of debris flow prevention and control work. Reliable evaluation results can provide important basis for formulating scientific disaster prevention and reduction plans in related areas. Thanks to the development of remote sensing technology, geographic information systems, global positioning systems, and computer technology, debris flow susceptibility evaluation technology … Read more

The Arrival of ImageNet Era in NLP: Word Embeddings Are Dead

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The Arrival of ImageNet Era in NLP: Word Embeddings Are Dead

Selected fromthe Gradient Author：Sebastian Ruder Translated by Machine Heart In the field of computer vision, models pre-trained on ImageNet are commonly used for various CV tasks such as object detection and semantic segmentation. In contrast, in the field of natural language processing (NLP), we typically only use pre-trained word embedding vectors to encode the relationships … Read more

Neural Network Transfer Learning for Natural Language Processing

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Neural Network Transfer Learning for Natural Language Processing

Recommended by New Intelligence Yuan Source: Zhuangzhi (ID: Quan_Zhuanzhi) [New Intelligence Yuan Guide] In reality, natural language processing faces various types of tasks across multiple domains and languages, making it impractical to label data for each task individually. Transfer learning allows for the transfer of learned knowledge to related scenarios. This article introduces Dr. Sebastian … Read more