1 This article starts from basic concepts to introduce and explain a series of key technologies used by ChatGPT, such as machine learning, neural networks, large models, pre-training + fine-tuning paradigm, and Scaling Law… It also looks ahead to the potential application areas of multimodal agents represented by ChatGPT. We hope to help readers gain … Read more
Click on "Beginner Learning Vision" above, select "Star" or "Pin" Heavy content delivered to you first Source: GitHub Author: zergtant [Guide] Today we strongly recommend a Chinese PyTorch book — PyTorch Chinese Manual, along with a preview. This book provides a quick start guide for PyTorch and aligns with the latest version, including PyTorch tutorials … 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
Basic Mathematical Principles The main differences in artificial neural network models lie in the topology of the neural network connections, the characteristics of the neurons, and the scale of learning, etc. Based on the differences in the topology of neuron connections, we can roughly categorize neural network models into the following two types. 1. Feedforward … Read more
Physics-Informed Neural Networks (PINNs) is a numerical simulation method that combines neural networks with material constitutive models (PDEs). PINNs can be used to solve fracture mechanics problems without the need for discretizing the mesh. When using PINNs to solve fracture mechanics problems, it is usually necessary to embed the physical equations and initial/boundary conditions as … Read more
In the process of constructing the detailed model structure of the twin neural network, we first create a shared convolutional network. We have already understood the convolutional layer, pooling layer, and fully connected layer. First, please understand the following concepts: Convolutional Layer Pooling Layer Convolutional Layer Fully Connected Layer Shared Convolutional Layer Euclidean Distance Let’s … Read more
(Please indicate the source and author for reprinting) Editor’s Note In recent years, artificial neural network algorithms have emerged, with Google’s Deep Dream as a typical example, which can capture features of selected images and endow another image with similar characteristics. A new project researched by the University of Tübingen in Germany has matured this … Read more
As we all know, the deep learning algorithms that have become extremely popular in recent years are actually based on the neural network models proposed in the last century. Background Sharing In 1943, psychologist W. McCulloch and mathematician W. Pitts first proposed a mathematical model of neurons based on the analysis and summarization of the … Read more
Hello everyone, I am Xiaodong. Today, let’s discuss an interesting topic – implementing neural network algorithms on microcontrollers. Sounds impressive, right? Don’t worry, follow me step by step, and I guarantee you’ll easily master this “intelligent brain”. 1. What is a Neural Network? In simple terms, a neural network is an algorithm that mimics the … Read more
Neural Networks (NN) are an important branch of machine learning and have been widely applied in various fields such as image recognition, natural language processing, and speech recognition. With the support of R, the implementation of neural networks has become easier, allowing developers to use various libraries to implement, train, and tune neural network models. … Read more