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In-depth articles on AI agents, LLM engineering, servers, Python and software development.
This document provides a detailed introduction to how to build a MySQL master-slave cluster using Mycat, along with testing for load balancing and high availability. The following is a summary of the
This document provides a detailed introduction to how to configure Master-Slave Replication in MySQL database, accompanied by configuration steps and simple test cases. The key points summarized are a
This article provides a detailed introduction to how to install and configure Mycat in a CentOS environment to achieve basic operations of distributed databases. Below is a summary of the content in t
This blog mainly introduces how to deploy and configure a Tomcat cluster on CentOS to achieve logical layer distributed deployment of websites. The specific steps include: ### 1. Preparation Work - E
You have provided a detailed introduction to installing CUDA 11.8 and CUDNN 8.9.6 on the Ubuntu system, and verified it through a simple PyTorch program. To ensure the completeness of the documentatio
This article provides a detailed introduction to the process of creating a cloud server using KVM on CentOS systems. Below is a summary of key steps and precautions: ### I. Environment Preparation -
This note provides a detailed introduction to the process of training a 3-layer neural network using TensorFlow for handwritten digit recognition. The main content and key points of the note are as fo
Thank you for your sharing and explanation! Indeed, Gradient Checking can effectively verify whether the gradient calculations in the backpropagation algorithm are correct. This technique is very usef
### Practical Deep Learning and Optimization - **Dataset Splitting**: A common split ratio is 98% for training, 1% for validation, and 1% for testing. Increasing data volume or applying regularizatio
Thank you for sharing these valuable study notes and reference materials! Indeed, the way weights are initialized in deep learning has a significant impact on the model's performance. Using appropriat