Introduction:Among the many empowered industries, AI+Investment Research has become a hot track. Accurately predicting the future and making the right decisions at critical moments is a dream scenario for countless people. Thanks to advancements in algorithms, this reality is getting closer to humanity. In 2012, Peter Turchin, a professor of ecology and mathematics at the … Read more
The concept that most people are familiar with is Generative AI, such as large language models (LLMs) like ChatGPT, Doubao, and Kimi, which can answer questions, generate text, and assist in completing other tasks. However, this operation is passive, meaning that Generative AI can only respond to received inputs based on learned patterns. LLMs cannot … 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
Left Hand Workplace, Right Hand AI With Stories, Methods, and Tools January 20, 2025 Article 19 of 2025, Original Article 785 Full text 2682 words, reading time about 8 minutes Since OpenAI launched ChatGPT on November 30, 2022—a technology known as Generative AI (AIGC, Artificial Intelligence Generated Content), the application of AIGC has started to … 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
Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between pixels that are far apart are weaker. Therefore, each neuron does not need to perceive the entire image globally; it only needs to perceive local information, which can then be combined … Read more
Convolutional Neural Networks (CNN) are a type of feedforward neural network that includes convolutional computations and has a deep structure. They are one of the representative algorithms of deep learning. This article aims to introduce the basic concepts and structures of CNN, as well as the fundamental ideas behind CNN architecture design. This article is … Read more
【Introduction】The traditional visual recognition methods struggle to directly distinguish between NIs (Natural Images) and CG (Computer Generated images). This article proposes an efficient image recognition method based on Convolutional Neural Networks (CNNs). A large number of experiments were conducted to evaluate the model’s performance. The experimental results show that this method outperforms existing recognition methods … Read more