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
Click on “Beginner Learning Vision“, select to add “Star” or “Top“ Important content delivered first-hand Author | Jin Hui @ Zhihu (Authorized) Source | https://zhuanlan.zhihu.com/p/220403674 1. Visualization of Network Structure When training a neural network, in addition to observing the trend of the loss function with respect to steps or epochs to establish a basic … Read more
Click the “Little White Learns Vision” above, and choose to add “Bookmark” or “Pin“ Important content delivered first Editor’s Recommendation This article explores logic gate networks aimed at machine learning tasks through learning combinations of logic gates. These networks consist of logic gates such as AND and XOR. To achieve effective training, this article proposes … Read more
Author: z.defying Reprinted from: Datawhale Table of Contents: 1 Specify GPU ID 2 View Model Layer Output Details 3 Gradient Clipping 4 Expand Dimensions of a Single Image 5 One-Hot Encoding 6 Prevent Out of Memory When Validating Model 7 Learning Rate Decay 8 Freeze Parameters of Certain Layers 9 Use Different Learning Rates for … Read more
Click on the above“Beginner’s Vision Learning” to selectStar or “Top” Important content delivered at the first time Recently, in a research project, I started to understand the importance of image augmentation techniques. The goal of the project is to train a robust generative model capable of reconstructing the original image. The problem being addressed is … Read more
Click on the above “Beginner’s Guide to Vision”, select to add “Star” or “Top” Heavyweight content, delivered first time Author:Igor Susmelj Translation: ronghuaiyang Introduction Since PyTorch 1.0, more and more people have chosen to use PyTorch. Today, we introduce a GitHub project where the author summarizes a very useful set of best practices for using … Read more
Follow our WeChat public account “ML_NLP“ Set as “Starred“, important content delivered first-hand! Produced by Big Data Digest Compiled by: Hong Yingfei, Ning Jing PyTorch is one of the deep learning framework libraries, an open-source deep learning platform from Facebook, providing seamless connection from research prototype to production deployment. This article aims to introduce the … Read more
Follow our official account “ML_NLP“ Set as “Starred“, heavy content delivered first hand! Author | Tirthajyoti Sarkar Source | Medium Editor | Code Doctor Team Introduction This article will demonstrate a simple step-by-step process to build a PyTorch 2-layer neural network classifier (fully connected) to illustrate some key features and styles. PyTorch provides great flexibility … Read more
Author | hyk_1996 Source: CSDN Blog Compiled by: Da Bai 1. Difference in Effects of nn.Module.cuda() and Tensor.cuda() Both the cuda() function can achieve memory migration from CPU to GPU for models and data, but their effects differ. For nn.Module: model = model.cuda() model.cuda() The above two lines achieve the same effect, which is memory … Read more