Hello everyone, I am Hua Ge. This article systematically and comprehensively organizes the introduction and algorithm principles of various deep learning models. At the beginning of the article, let me first introduce our company’s popular business. If you have any needs or ideas, feel free to chat! 1 Main Text Deep learning methods utilize neural … Read more
Source: DeepHub IMBA This article is approximately 4000 words long and is recommended to be read in 6 minutes. This article will explore Transformer, RNN, and Mamba 2. By exploring the potential connections between seemingly unrelated large language model (LLM) architectures, we may open new avenues for facilitating the exchange of ideas between different models … Read more
Click the "Little White Learns Vision" above, select "Star" or "Top" Heavyweight content delivered in real-time Today we will study the paper “Mamba: Linear Time Series Modeling with Selective State Space” in detail. Mamba has been making waves in the AI community, touted as a potential competitor to Transformers. What exactly makes Mamba stand out … Read more
### 1. Article Basic Information – **Article Title**: Deep Learning in Marketing: A Review and Research Agenda – **Author**: Xiao Liu, New York University – **Publication Location**: Chapter related to “Artificial Intelligence in Marketing Review of Marketing Research” – **Main Idea of the Article**: To review the applications of deep learning (DL) in marketing, introduce … Read more
Source: Mathematics China This article is about 2200 words long and suggests a reading time of 9 minutes. When there is an appropriate neural network architecture and a sufficiently large dataset, deep learning networks can learn any mapping from one vector space to another. According to reports, the use of deep learning has rapidly increased … Read more
1. Introduction The neural network algorithm is an important branch of artificial intelligence. It constructs models that can learn and adapt by simulating the connection patterns of neurons in the human brain. In many application scenarios, neural network algorithms have demonstrated powerful performance and potential. However, building an excellent neural network model is not an … Read more
Selected from Hackernoon Author: Debarko De Translated by Machine Heart Contributors:Li Shimeng, Lu This article briefly introduces what recurrent neural networks are and their operating principles, and provides an example implementation of an RNN. What are recurrent neural networks (RNNs)? How do they work? Where can they be used? This article attempts to answer these … Read more
Recommended Reading Time: 8min~13min Reason for Recommendation: This is a summary and reflection after watching Professor Li Hongyi’s deep learning videos from National Taiwan University. After finishing the introduction of the first part, particularly the introduction to RNN and especially LSTM, I felt enlightened. 1 0. Starting with RNN Recurrent Neural Network (RNN) is a … Read more
Compiled by | Jiang Changzhi Today, I would like to introduce an article published in Nature Methods by a team from ETH Zurich and Friedrich Schiller University Jena. The article proposes a new method for generating small molecule structures from mass spectrometry based on an encoder-decoder neural network: MSNovelist. It first uses SIRIUS and CSI: … Read more
In chemical plants, various process equipment are usually connected by pipelines. Therefore, pipelines are known as the “veins” of the chemical plant, serving the role of transporting various process media. The damage to pipelines during operation is often caused by corrosion. According to statistics, the losses caused by metal corrosion in China exceed 40 billion … Read more