The application of Bert in production environments requires compression, which demands a deep understanding of the Bert structure. This repository will interpret the Bert source code (PyTorch version) step by step. The repository can be found at https://github.com/DA-southampton/NLP_ability Code and Data Introduction First, for the code, I referenced this repository. I directly cloned the code … Read more
Wishing You a Prosperous Year of the Rat HAPPY 2020’S NEW YEAR Author:Tea Book Club of Lao Song Zhihu Column:NLP and Deep Learning Research Direction:Natural Language Processing Source:AINLP Introduction BERT has achieved great success in the field of natural language understanding, but it performs poorly in natural language generation due to the language model used … Read more
MLNLP community is a well-known machine learning and natural language processing community at home and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial communities of natural language processing and machine learning, especially for the progress … Read more
Follow our WeChat public account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! Today, we are reading the 2019 paper by Google titled “ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations”. We know that the model’s performance improves with increased depth, but deeper models also make training more difficult. To address … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy-duty content delivered to you first! Motivation Bert has been widely used in pre-trained language models, but current research mainly focuses on English. In cross-language scenarios, can Bert training bring improvements? The answer is almost certainly yes, it just depends on how to do it. The paper … Read more
By/Gao Kaiyuan Image Source: Internet Introduction [email protected] I have been reviewing materials related to Paddle, so I decided to take a closer look at the source code of Baidu’s ERNIE. When I skimmed through it before, I noticed that ERNIE 2.0 and ERNIE-tiny are quite similar to BERT. I wonder what changes have been made … Read more
The renowned Bert algorithm is something most of you have probably heard of. It is a “game-changing” pre-trained model in the field of NLP launched by Google, which has set multiple records in NLP tasks and achieved state-of-the-art results. However, many deep learning beginners find that the BERT model is not easy to set up, … Read more
Click the “Computer Vision Life” above and select “Star” Quickly get the latest insights This article is reproduced from Machine Heart Researchers state that they view edge training as an optimization problem, thus discovering the optimal scheduling to achieve minimal energy consumption given a memory budget. Currently, deep learning models are widely deployed for inference … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for … Read more
Click the “MLNLP” above and select the “Starred” public account Heavyweight content delivered first Author: Jay Alammar, Translated by Qbit AI BERT, as a key player in the field of natural language processing, is something that NLPer can’t avoid. However, for those with little experience and weak foundations, mastering BERT can be a bit challenging. … Read more