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
This article first summarizes the development history of large model technology, the iterative path of autonomous driving models, and the role of large models in the autonomous driving industry. Next, it details the basic definition, fundamental functions, and key technologies of large models, especially the Transformer attention mechanism and the pre-training-fine-tuning paradigm. The article also … Read more
This article is a bit long, and I will divide it into several parts. Through this article, I hope to help you thoroughly understand the principles of RNN (Recurrent Neural Networks) and be able to implement it at the code level. Table of Contents What This Article Does Inputs and Outputs of RNN RNN Network … Read more
CNN and RNN are the two most commonly used deep learning network structures in deep learning, and some students may still be unclear about the differences between these two networks. Now let’s illustrate the specific applications of CNN and RNN with a diagram: One to One: This represents the scenario of the CNN network, from … Read more
In the field of deep learning, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Deep Neural Networks (DNN) are the three most widely researched and applied neural network models. They each have their own focus in terms of structure, function, and applicable scenarios, complementing each other. This article will provide a detailed analysis of … Read more