Application of Statistical Science and Machine Learning in AgileX Database Monitoring System

Application of Statistical Science and Machine Learning in AgileX Database Monitoring System

A system—whether an organism, enterprise, company, or computer program—spends effort feeding back past events to the present because it is a more economical approach for the system to respond to the future. To foresee the future, one must understand the past.. — Kevin Kelly, “Out of Control” This statement also applies to the field of … Read more

Getting Started with PyTorch: A Powerful Deep Learning Framework

Getting Started with PyTorch: A Powerful Deep Learning Framework

PyTorch is a powerful deep learning framework that has become quite popular! Whether you’re working on computer vision or natural language processing, it can be extremely useful. Today, let’s discuss some basics of PyTorch and see why it is so well-loved. Tensors: The Core of PyTorch 1. A tensor is the basic data structure in … Read more

4-Minute PyTorch Tutorial: Linear Regression Step-by-Step

4-Minute PyTorch Tutorial: Linear Regression Step-by-Step

Produced by Big Data Digest Compiled by: Hong Yingfei, Ning Jing PyTorch, one of the deep learning framework libraries, is an open-source deep learning platform from Facebook that provides seamless transition from research prototypes to production deployment. This article aims to introduce the basics of PyTorch, helping beginners write initial Python PyTorch code in 4 … Read more

Understanding Q, K, V in Deep Learning Attention Mechanism

Understanding Q, K, V in Deep Learning Attention Mechanism

Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered immediately! From | Zhihu Author | lllltdaf Link | https://www.zhihu.com/question/325839123 Editor | Public Account of Machine Learning Algorithms and Natural Language Processing This article is for academic sharing only. If there is infringement, please contact the background for deletion. As someone who does CV, … Read more

Understanding Q, K, and V in Attention Mechanisms

Understanding Q, K, and V in Attention Mechanisms

Question: I have searched various materials and read the original papers, which detail how Q, K, and V are obtained through certain operations to derive output results. However, I have not found any explanation of where Q, K, and V come from. Isn’t the input to a layer just a tensor? Why do we have … Read more

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework’s Internal Architecture

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework's Internal Architecture

Selected from blog.christianperone Author:Christian S. Perone Translated by: Machine Heart Contributors: Siyuan, Huang Xiaotian, Li Zenan As a deep learning framework supported by Facebook’s Artificial Intelligence Research (FAIR) team, PyTorch has rapidly become a popular development tool since its launch in January 2017. Its advantages in debugging, compilation, and other aspects have made it widely … Read more

Comprehensive Collection of Common PyTorch Code Snippets

Comprehensive Collection of Common PyTorch Code Snippets

↑ ClickBlue Text Follow the Extreme Market Platform Author丨Jack Stark@Zhihu Source丨https://zhuanlan.zhihu.com/p/104019160 Extreme Market Guide This article is a collection of common code snippets in PyTorch, covering five aspects: basic configuration, tensor processing, model definition and operation, data processing, and model training and testing, along with several notable tips. The content is very comprehensive. Join the … Read more

A Collection of Common PyTorch Code Snippets

A Collection of Common PyTorch Code Snippets

Source | Jishi Platform Author | Jack Stark@Zhihu The best resources for PyTorch are the official documentation. This article is a collection of common PyTorch code snippets, with some modifications based on reference material [1](Zhang Hao: PyTorch Cookbook) for easier consultation during use. 1 Basic Configuration Import Packages and Check Versions import torch import torch.nn … Read more

Building and Training Deep Learning Models with PyTorch

Building and Training Deep Learning Models with PyTorch

PyTorch occupies an important position in the field of deep learning. In real life, it is widely used in various areas such as image recognition and natural language processing. For example, in medical image diagnosis, models built with PyTorch can quickly and accurately identify lesions in X-ray and CT images; in intelligent customer service systems, … Read more