▌1. Introduction: As a beginner in AI, I referenced some articles and wanted to take some notes to deepen my understanding. I am sharing this for those who need it, and I hope it helps others as well! [Toxic Chicken Soup]: Algorithms often leave you in a state of confusion –> “Who am I, where … Read more
This article will cover the essence of ResNetthe principles of ResNetand the applications of ResNet to help you understand Residual Neural Networks (ResNet). Residual Neural Network ResNet 1. The essence of ResNetResNet’s definition: Residual Neural Network (ResNet) is an architecture of deep convolutional neural networks (CNN) that addresses the degradation problem in training deep networks … Read more
Developing artificial intelligence systems with advanced reasoning capabilities is a long-standing research problem. Traditionally, the main strategy for addressing this challenge involves the use of symbolic methods, where knowledge is explicitly represented through symbols and implemented through explicitly programmed rules. However, with the emergence of machine learning, systems have shifted towards being able to learn … Read more
Computer deep learning systems based on artificial neural network algorithms have become a cutting-edge focus in the field of computer research. The principle is to enable artificial neural network algorithms to learn like the human brain through practice. In addition to being used for facial and voice recognition, it can also search through vast amounts … Read more
Editorial Team WeChat Official Account KeywordsFull Network SearchLatest Ranking “Quantitative Investment”: Ranked First “Quant”: Ranked First “Machine Learning”: Ranked Fourth We will continue to work hard To become ahigh-qualityfinancial and technical public account Translation by: mchoi [Series 1]Neural Networks for Algorithm Trading Based on Multivariate Time Series(Click the title to read) In this article, we … Read more
This article will coverthe essence of fine-tuningthe principles of fine-tuning, and the applications of fine-tuning in three aspects to help you understand model fine-tuning Fine-tuning . Fine-tuning Model Fine-tuning The Essence of Fine-tuning How to Utilize Pre-trained Models?Two popular methods are Transfer Learning and Fine-tuning. Transfer Learning is a broader concept that includes various methods … Read more
This article will cover the essence of U-Net principles of U-Net and its applications in three aspects to help you understand the image segmentation network | U-Net. U-Net 1. U-Net essence Definition of U-Net:A convolutional neural network based on deep learning, mainly used for image segmentation tasks, especially the segmentation of biomedical images.It consists of … Read more
This article will explain the essence of Back Propagation, its principles, and provide examples to help you understand Back Propagation in one read. Back Propagation 1. The Essence of Back Propagation Forward Propagation: Forward propagation is the process by which a neural network transforms input data into prediction results through its hierarchical structure and parameters, … Read more
This article will cover three aspects of one-hot encoding: the principle of one-hot encoding, its classification, and its applications. One-Hot Encoding . One-Hot Encoding 1. The Principle of One-Hot Encoding Feature Digitization: Converts categorical variables (also known as discrete features, unordered features) into a format suitable for machine learning algorithms. Feature Digitization Creates a new … Read more
This article will explain the essence of pre-training principles, and applications in three aspects, helping you understand model pre-training Pre-training. Pre-training 1.Essence of Pre-training AI = Data + Algorithms + Computing Power Three Elements of AI Dataset:Data is one of the three pillars of AI and is very important in AI technology. Datasets are generally … Read more