The Algorithm of Algorithms: Artificial Neural Networks

The Algorithm of Algorithms: Artificial Neural Networks

In last week’s artificial neural network course, we introduced the connection between Support Vector Machines (SVM) and feedforward networks RBF in machine learning, and the representation of adaptive linear elements (ADLINE) composed of linear functions in a single-layer network is quite similar to adaptive filters in traditional signal processing. All of this shows that neural … Read more

Understanding Common Machine Learning Models

Understanding Common Machine Learning Models

Click on the above“Beginner Learning Vision” to select “Star” or “Pin” Important content delivered at the first time Linear Models Linear models are the simplest and most basic machine learning models. Their mathematical form is as follows: g(x;w)=. Sometimes, we also add a bias term b on top of, but as long as we expand … Read more

Reflections on 7 Major Classification Algorithms from an Image Recognition Code

Reflections on 7 Major Classification Algorithms from an Image Recognition Code

Recently, I was preparing some materials on machine vision and implemented a small case while writing code. You can try implementing it yourself. # Import modules import ddddocr # Call the method from the module p=ddddocr.DdddOcr() # Open the image to be recognized with open('picture/img_1.png','rb') as file: # Pass the data stream and store: ddos … Read more