Course Intermediate  11360

Course Introduction："Self-study IT Network Linux Load Balancing Video Tutorial" mainly implements Linux load balancing by performing script operations on web, lvs and Linux under nagin.

Course Advanced  17663

Course Introduction："Shangxuetang MySQL Video Tutorial" introduces you to the process from installing to using the MySQL database, and introduces the specific operations of each link in detail.

Course Advanced  11379

Course Introduction："Brothers Band Front-end Example Display Video Tutorial" introduces examples of HTML5 and CSS3 technologies to everyone, so that everyone can become more proficient in using HTML5 and CSS3.

Course Introduction：With the continuous development of artificial intelligence technology, deep learning has become an important research direction. As a machine learning technology that uses neural network models to learn data features, deep learning has been widely used in image recognition, natural language processing, speech recognition and other fields. As an important programming language, Java's application in deep learning has attracted more and more attention. This article will introduce how to use Java for deep learning application practice. 1. The Java deep learning framework requires deep learning applications in Java.

2023-06-18 comment 0  1764

Course Introduction：With the development of artificial intelligence, deep learning has become one of the most popular and cutting-edge technologies. As a powerful machine learning algorithm, deep learning has been widely used and developed in image recognition, natural language processing, speech recognition and other fields. Here we will explore how to carry out deep learning development in PHP. 1. Deep learning framework in PHP The current mainstream deep learning frameworks mainly include TensorFlow, Keras, PyTorch, etc. They provide various deep learning implementation methods and tools to help

2023-05-11 comment 0  2688

Course Introduction：Introduction to the training time issue of deep learning models: With the development of deep learning, deep learning models have achieved remarkable results in various fields. However, the training time of deep learning models is a common problem. In the case of large-scale data sets and complex network structures, the training time of deep learning models increases significantly. This article will discuss the training time issue of deep learning models and give specific code examples. Parallel Computing Accelerates Training Time The training process of deep learning models usually requires a large amount of computing resources and time. In order to speed up training

2023-10-09 comment 0  1723

Course Introduction：Introduction to the implementation principle of deep learning algorithm in PHP: With the rapid development of artificial intelligence, deep learning algorithm has become one of the most popular and powerful machine learning technologies today. By training neural network models, deep learning can simulate human thinking and learning processes, thereby enabling the analysis and processing of large-scale complex data. This article will introduce how to implement deep learning algorithms in PHP and provide corresponding code examples. 1. Neural network structure In deep learning, neural network is a key component. It consists of multiple layers (or called

2023-07-09 comment 0  1042

Course Introduction：Introduction to Geometric Deep Learning Geometric Deep Learning (GDL) is a burgeoning field within artificial intelligence (AI) that extends the capabilities of traditional deep learning models by incorporating geometric principles. Unlike conventio

2024-10-27 comment 0  761