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

Compiling and Installing GPU-Supported TensorFlow 1.8.0 from Source on Ubuntu 18.04

Compiling and Installing GPU-Supported TensorFlow 1.8.0 from Source on Ubuntu 18.04

When I first used Linux, the first thing I wanted to do was install the GPU version of TensorFlow. I found a great guide, but even considering that, I spent over 40 hours on the installation. In this article, I want to save you time and share my experience. Below you will find an updated … Read more

Squat Detector Based on OpenCV and TensorFlow

Squat Detector Based on OpenCV and TensorFlow

Click on the above“Beginner Learning Vision” to select Star or “Pin” Important content delivered immediately This issue we will introduce how to use OpenCV and TensorFlow to implement squat detection. During the quarantine period, our physical activities are very limited, which is not good. When doing some home exercises, we must always maintain a high … Read more

Hands-On Project of Chatbot Based on TensorFlow Deep Learning

Chatbot Practice A chatbot is a computer program designed to simulate human conversation or chat, essentially enabling machines to understand human language through technologies like machine learning and artificial intelligence. It integrates methods from various disciplines and serves as a concentrated training camp in the field of artificial intelligence. In the coming decades, the way … Read more

The Holy Trinity of Topological Machine Learning: Gudhi, Scikit-Learn and Tensorflow

The Holy Trinity of Topological Machine Learning: Gudhi, Scikit-Learn and Tensorflow

Author: Mathieu Carrière Translator: Sun Taochun Proofreader: He Zhonghua This article is approximately 4500 words long and is recommended to be read in 10minutes. This article briefly introduces the power of Topological Data Analysis (TDA) in machine learning and demonstrates how to practice with three Python libraries: Gudhi, Scikit-Learn, and Tensorflow. Tags: Data Visualization Hi … Read more

Deep Learning Environment Setup Guide for RTX 3090: Pytorch, TensorFlow, Keras

Deep Learning Environment Setup Guide for RTX 3090: Pytorch, TensorFlow, Keras

Click on the above“Beginner Learning Vision” to add it to your favorites or “pin” Important content delivered to you first Author丨Yukyin@Zhihu Source丨https://zhuanlan.zhihu.com/p/279401802 This article is for academic sharing only. If there is any infringement, please contact us to delete the article. Introduction This article introduces the detailed process and code for setting up a deep … Read more

Three Common Model Aggregation Methods in Federated Learning (FL) with TensorFlow Examples

Three Common Model Aggregation Methods in Federated Learning (FL) with TensorFlow Examples

Source:DeepHub IMBA This article is approximately 1200 words, recommended reading for 7 minutes Federated Learning (FL) is an excellent ML method that enables multiple devices (such as Internet of Things (IoT) devices) or computers to collaborate in model training without sharing their data. The “clients” are the computers and devices used in FL, which can … Read more