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
Editor: Jizhi Shutong Recurrent Neural Networks (RNNs) based on long-range dependency modeling are widely used in various speech tasks, such as Keyword Spotting (KWS) and Speech Enhancement (SE). However, due to the power and memory limitations of low-resource devices, efficient RNN models are needed for practical applications. In this paper, the author proposes an efficient … 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
Banner | Promotion This article is submitted by the authors of the paper Introduction Photonic Neural Networks (PNNs) aim to break through the bottleneck of classical von Neumann computer architecture. By using photons as the computational medium to build low-latency, high-energy efficiency, and high-bandwidth optoelectronic integrated computing processors, they are expected to support the computational … Read more
Source | Network One thing that might surprise beginners is that neural network models are not complex! The term ‘neural network’ sounds impressive, but in fact, neural network algorithms are simpler than people think. This article is entirely prepared for beginners. We will understand the principles of neural networks by implementing one from scratch using … Read more
Author: yyHaker Source: https://zhuanlan.zhihu.com/p/136521625 This article is about 5900 words long and is recommended to be read in 10 minutes. This article will provide a simple summary from a more intuitive perspective of the currently popular classic GNN networks, including GCN, GraphSAGE, GAT, GAE, and graph pooling strategies such as DiffPool. In recent years, the … Read more
Table of Contents 1. Neuron Model 2. Perceptron and Neural Networks 3. Error Backpropagation Algorithm 4. Common Neural Network Models 5. Deep Learning 6. References Currently, deep learning (Deep Learning, referred to as DL) is exceptionally popular in the field of algorithms, not only in the internet and artificial intelligence but also in various fields … Read more
Large Language Models (LLMs) are a type of artificial intelligence model designed to understand and generate human language. They are trained on vast amounts of text data and can perform a wide range of tasks, including text summarization, translation, sentiment analysis, and more. LLMs are characterized by their large scale, containing billions of parameters, which … Read more
Author: Liu Yiqin Source: Caijing Eleven (ID:caijingEleven) Currently, large models are becoming an important force driving a new round of technological innovation, industrial upgrading, and productivity leap. Domestic technology companies are seizing the opportunity, intensively launching artificial intelligence large models, showing a hundred flowers blooming situation. However, beneath the excitement of the “hundred model war,” … Read more