A Foreign Guy Visualized CNN Clearly: Convolution and Pooling

A Foreign Guy Visualized CNN Clearly: Convolution and Pooling

Xiao Xiao Yu Yang from Aofeisi Reported | Quantum Bit When it comes to computer vision, CNN is indispensable. But what do convolution, pooling, and Softmax actually look like, and how are they interconnected? Imagining it from code can be a bit chilling. So, someone simply used Unity to create a complete 3D visualization. It’s … Read more

LSTM-Based Benchmark Axle Speed Prediction Method for Rail Vehicles

LSTM-Based Benchmark Axle Speed Prediction Method for Rail Vehicles

0 Introduction The traction and braking forces of rail vehicles come from the adhesion between the wheel and rail, and the adhesion coefficient is influenced by various factors such as speed, axle load, and the condition of the wheel-rail surface. These factors are affected by the natural environment, leading to complex and variable adhesion characteristics. … Read more

ALBERT: A Lightweight BERT for Self-Supervised Learning in Language Representation

ALBERT: A Lightweight BERT for Self-Supervised Learning in Language Representation

Follow us on WeChat “ML_NLP” Set as “Starred”, heavy content delivered first hand! Written by / Radu Soricut and Zhenzhong Lan, Researchers, Google Research Since the advent of BERT a year ago, natural language research has adopted a new paradigm: leveraging a large amount of existing text to pre-train model parameters in a self-supervised manner … Read more

In-Depth Analysis of BERT Source Code

In-Depth Analysis of BERT Source Code

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

How to Quickly Use BERT?

How to Quickly Use BERT?

Follow the public account “ML_NLP“ Set as “Starred“, important content delivered first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/112235454 Author | TotoroWang Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article has been authorized by the author and is prohibited from secondary reproduction Introduction Since I have been working on BERT models … Read more

Understanding BERT Source Code in One Article

Understanding BERT Source Code in One Article

Author: Chen Zhiyan This article is about 4400 words long and is recommended to read in over 10 minutes. The article provides a detailed interpretation of the source code for the BERT model pre-training task, analyzing each implementation step of the BERT source code in the Eclipse development environment. The BERT model architecture is an … Read more

Beginner’s Guide to Machine Learning with Code Examples

Beginner's Guide to Machine Learning with Code Examples

Author: Ben Sanders Translator: Wu Huicong Proofreader: Zheng Zi This article contains approximately 2400 words, and it is recommended to read in 10 minutes. This article will briefly introduce what machine learning is, how it works, and two main algorithms in machine learning. Introduction In this article, Greg Lamp, co-founder of the data science startup … Read more

Step-by-Step NLP Guide: Extract Text Features Using ELMo

Step-by-Step NLP Guide: Extract Text Features Using ELMo

Author: PRATEEK JOSHI Translator: Han Guojun Proofreader: Li Hao This article is approximately 3500 words, and is recommended to be read in 15 minutes. This article will introduce the principles of ELMo and how it differs from traditional word embeddings, followed by practical demonstrations of its effectiveness. Introduction I am dedicated to researching issues related … Read more

Summary of Four Common NLP Frameworks

Summary of Four Common NLP Frameworks

Click on the “MLNLP” above, and select the “Star” public account Heavyweight content delivered to you first Reprinted from the public account: Harbin Institute of Technology SCIR Authors: Harbin Institute of Technology SCIR Di Donglin Liu Yuanxing Zhu Qingfu Hu Jingwen Introduction With the development of artificial intelligence, more and more deep learning frameworks have … Read more

Learning Path for Computer Vision Engineers

Learning Path for Computer Vision Engineers

Click on the above“Beginner Learning Vision” to choose tostar or “pin” Essential knowledge, delivered at the first time How can one become a professional computer vision engineer, especially considering the significant changes in the steps and strategies to enter the machine learning industry in a short period compared to the past? Artificial Intelligence Advances at … Read more