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
Click on the “CVer“, and choose to “star” or “top” it Heavyweight content delivered at the first time Author: Tian Haishan https://zhuanlan.zhihu.com/p/66320870 This article is authorized, and no secondary reproduction is allowed without permission Installation You can install it using the following commands conda install pytorch-nightly -c pytorch conda install graphviz conda install torchvision conda … Read more
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
Meng Lei School of Electrical Engineering, Shaanxi University of Technology /Abstract:/ To timely grasp the changes in power load, accurate forecasting is essential. Therefore, a combined model of CNN and LSTM is explored to predict short-term fluctuations in power load from one day to one week. The CNN model is responsible for feature extraction from … Read more
Hello everyone, I am Red Stone! The first typical CNN is the LeNet5 network, while the first CNN to shine brightly was AlexNet. In 2012, AlexNet emerged in the globally renowned image recognition competition ILSVRC, directly reducing the error rate by nearly 10 percentage points, which was something all previous machine learning models could not … Read more
↓↓↓Click to follow, reply withmaterials, a 10GB surprise Author: zzq Editor: Jishi Platform Source: https://zhuanlan.zhihu.com/p/68411179 For academic sharing only, does not represent the position of this publicaccount. Contact for removal if infringing. Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, with an audience that includes NLP master’s and PhD students, university professors, and corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for … Read more
Click on the above “CVer“, select to add “Star” or “Top” Important content delivered instantly Author: zzq https://zhuanlan.zhihu.com/p/68411179 This article is authorized, and reprinting without permission is prohibited Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between distant pixels are … Read more
From | Zhihu Author | zzq Address | https://zhuanlan.zhihu.com/p/68411179 This article is for communication purposes only. If there is any infringement, please contact for deletion. Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between distant pixels are relatively weak. Therefore, … Read more
Click aboveComputer Vision Alliance to get more valuable content For academic sharing only, does not represent the position of this public account, contact for removal in case of infringement Reproduced from: Author丨zzq Source丨https://zhuanlan.zhihu.com/p/68411179 Editor丨Jishi Platform Recommended notes from 985 AI PhD Zhou Zhihua’s “Machine Learning” handwritten notes are officially open-source! Includes PDF download link, Github … Read more