Original Title: An Introduction to PyTorch – A Simple yet Powerful Deep Learning Library Author: FAIZAN SHAIKH Translator: He Zhonghua This article is about 3600 words, recommended reading time is 15 minutes.This article will guide you step by step through PyTorch with practical examples. Introduction Every once in a while, a Python library emerges that … Read more
Introduction The original text is translated from: Deep Learning with PyTorch: A 60 Minute Blitz Translated by: Lin Buqing（https://www.zhihu.com/people/lu-guo-92-42-88） Lin Buqing (Lin Yanyan) is my student. This is what I asked her to study when she started learning PyTorch, and she translated this tutorial into Chinese to share with everyone. I hope it helps you … Read more
Click on the above“Mechanical and Electronic Engineering Technology” to follow us Multiprocessing is a term in computer science that refers to running multiple processes simultaneously, where these processes can execute different tasks at the same time. In computer operating systems, a process is the basic unit of resource allocation, and each process has its own … Read more
Click on the above “Beginner Learning Visuals” to select “Star” or “Pin” Important content delivered to you first Selected from | Medium Author | Aakash N S Contributors | Panda This article is the fourth in this series and will introduce how to train deep neural networks using PyTorch on a GPU. In previous tutorials, … Read more
Source: Read Chip Technology This article is approximately 4800 words, and it is recommended to read it in 10 minutes. This article introduces 9 tips for training neural networks using Pytorch. Image Source: unsplash.com/@dulgier In fact, your model may still be at the level of the Stone Age. You might still be training with 32-bit … Read more
Click the above “Beginner’s Guide to Vision” to select “Star” or “Top” Heavyweight content delivered first-hand This article is sourced from | Visual Algorithms Don’t let your neural network end up like this Let’s face it, your model might still be stuck in the Stone Age. I bet you’re still using 32-bit precision or GASP … Read more
Click the above “Beginner’s Guide to Vision“, select to add “Starred” or “Pinned“ Important content delivered promptly Author: Diving Champion @ Zhihu Source: https://zhuanlan.zhihu.com/p/272767300 Editor: Jishi Platform Jishi Guide The author summarizes their experience in the conversion of models from Pytorch to ONNX, mainly introducing the significance of this conversion work, the path for model … Read more
Source: DeepHub IMBA This article is about 4300 words long and takes approximately 12 minutes to read. This is an attempt to build a Gaussian Mixture Model (GMM) classifier using Pytorch. We will build the Gaussian Mixture Model (GMM) from scratch. This will give us a basic understanding of the GMM, and this article will … Read more
Click on the above“Beginner Learning Vision” to choose to addStar or “Top” Heavyweight content delivered promptly As we all know, programmers often search for a lot of information online while coding, most of which are code snippets. However, this work can often be exhausting and time-consuming. Therefore, today the editor has reprinted an article from … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is a well-known natural language processing community both at home and abroad, covering NLP master’s and doctoral students, university teachers, and enterprise 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, … Read more