With the development of society, the pace of life is constantly accelerating. How to help users quickly find valuable information in the vast sea of archives is an urgent problem that archive managers need to solve. A Knowledge Graph is a semantic network knowledge base, represented as a graphical network containing various structured knowledge that … Read more
Traditional linear models struggle to solve multivariable or multi-input problems, while neural networks like LSTM excel at handling multiple variables. This characteristic makes them useful for addressing time series prediction issues. In the following article, you will learn how to build an LSTM model using the deep learning library Keras to tackle multivariable time series … Read more
Click on 'Xiaobai Learns Vision' above, select to add 'star' or 'top' Important content delivered first Introduction This article analyzes the reasons for model training not converging or failing from both data and model perspectives. Four possible reasons from the data aspect and nine possible issues from the model aspect are summarized. In addition, the … Read more
The wave of large model startups is surging, and only by looking beyond the hustle and bustle can we see the new opportunities brought by large models. Image/Visual China Written by | Liu Yiqin Edited by | Xie LirongIn 2023, the hottest topic in the technology field is AI large models. This wave was led … Read more
Source: GEOsurvey DeepSeek, as a phenomenal artificial intelligence product, brings multidimensional innovative insights to the surveying field through its technological breakthroughs and application models. This technological wave not only reconstructs the operational paradigm of traditional surveying but also accelerates the evolution of the geographic information industry towards intelligence, real-time capabilities, and ubiquity, providing a highly … Read more
Notes from Andrew Ng’s DeepLearning.ai Course [Andrew Ng’s DeepLearning.ai Notes 1] Intuitive Explanation of Logistic Regression [Andrew Ng’s DeepLearning.ai Notes 2] Simple Explanation of Neural Networks (Part 1) [Andrew Ng’s DeepLearning.ai Notes 2] Simple Explanation of Neural Networks (Part 2) Is deep learning not working well? Andrew Ng will help you optimize neural networks (1) … Read more
Preface This standard is drafted in accordance with the rules given in GB/T 1.1-2009. This standard is proposed and standardized by the National Archives Administration. The drafting units of this standard: National Archives Administration, Qingdao Archives. Main drafters of this standard: Liu Yun, Ding Desheng, Yang Laiqing, Zou Jie. 1 Scope This standard specifies the … Read more
Artificial intelligence, from its name, suggests two characteristics: automation and intelligence. From these two perspectives, the level of intelligence is insufficient, leading to an inability to truly achieve automation in practice. For example, a private enterprise has bank reconciliation statements, each bank’s statement has different formats and a large quantity, resulting in a significant workload! … Read more
1. Technical Background and Design Goals Current content generation systems face three common technical challenges: low efficiency in processing multi-source heterogeneous data, insufficient structural coherence in long text generation, and weak collaborative generation capabilities for multimodal content. This research proposes a solution based on the LangGraph framework, aiming to build a modular and scalable intelligent … Read more
Recently, the topic of DeepSeek has been widely discussed, and we are preparing to approach this issue from a different angle. Does anyone remember a couple of years ago when the entire internet was discussing issues like “the digital economy is merely a virtual economy” and “hard technology is the real technology”? In the past … Read more