AI Agent 
1 Issues 1. Always stuck on solving environment and can’t get out. Network solutions include: configuring Tsinghua source, updating conda, etc., but nothing worked.2. After downloading, there are 3 things that need to be done, the last one starting with exe (maybe), always reports an error. Network solutions include: opening prompt with administrator privileges, etc., … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate 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, especially for beginners. Reprinted … Read more
Source: Ezyang Blog Information Network Engineering Research Center This article is approximately 9000 words long and is recommended for a reading time of over 15 minutes. This article is a long version of a talk about the internal mechanisms of PyTorch. Edward Z. Yang, a PhD student at Stanford University and a research engineer at … Read more
Click on the above“Beginner Learning Vision” to selectStar or “Pin” Heavyweight content delivered first-hand Originally published by | Machine Learning AI Algorithm Engineer The link to the VOC dataset used is provided in the article, the pre-trained model has been uploaded to GitHub, and I used Colab Pro for the environment, everyone can download the … Read more
Click the "Xiao Bai Learns Vision" above, select to "star" or "top" Heavy content delivered immediately Author丨Civ@Zhihu (Authorized) Source丨https://www.zhihu.com/question/66532235/answer/2782357337 Editor丨Jishi Platform Jishi Guide This article uses the C++ inference framework ncnn as an example to introduce the general deployment process. The approach is similar for other C++ inference frameworks; the only learning cost is the … Read more
Click on the above “Beginner’s Guide to Vision” to choose to add “Star” or “Pin“ Important content delivered promptly Author: Alxander@Zhihu (authorized) Source: https://zhuanlan.zhihu.com/p/448284000 Editor: Jishi Platform Jishi Guide During the training process in deep learning, due to random initialization and the randomness of sample reading, repeated experimental results may differ, with some variations being … Read more
Click the above “Beginner’s Guide to Vision” and choose to add a Star or “Top” Essential content delivered promptly Introduction This article summarizes important points to consider when implementing checkpoint resume training with PyTorch, along with detailed code explanations. Recently, while trying to train a classification problem using CIFAR10, I found that the dataset is … Read more
Kaggle Competition Tips Author:William Falcon, Source: AI Park Introduction Some small details can indeed improve speed. Over the past 10 months, during my work with PyTorch Lightning, the team and I have encountered many styles of structuring PyTorch code, and we have identified some key places where people inadvertently introduce bottlenecks. We are very careful … Read more
Using data augmentation techniques can increase the diversity of images in the dataset, thereby improving the performance and generalization ability of the model. The main image augmentation techniques include: Resizing Grayscale Transformation Normalization Random Rotation Center Cropping Random Cropping Gaussian Blur Brightness and Contrast Adjustment Horizontal Flip Vertical Flip Gaussian Noise Random Blocks Central Region … Read more
Click on "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavyweight content delivered first License Plate Recognition Overview License plate recognition based on deep learning, where the vehicle detection network directly uses YOLO for detection. Then, a network is used to detect and recognize the license plate number. The license plate detection network … Read more