Convolutional neural networks (CNN) is a computer vision and image processing method based on neural networks. In this article, we will introduce the principles of various layers in CNN.
Multiple classification neural network can classify more than one category. Compared with
binary classification, it is more commonly used in practice. This article will introduce the theory of multiple classification neural network in detail.
Due to the popularity of deep learning in recent years, neural networks have become popular. It has been used to solve a wide variety of problems. This article will introduce the neural network in detail with the binary classification neural network.
Linear regression is a data analysis technique that uses linear functions to predict data. Although the linear regression model is relatively simple, it is a mature statistical technique.
When a model has poor performance, it cannot predict the data accurately. The main cause may be overfitting or underfitting. If it is a case of overfitting, we can use regularization to solve model overfitting.
Overfitting and underfitting are the root causes for poor model accuracy. Only by being able to determine whether a model is overfitting or underfitting can we take the correct approach to improve the performance of the model.
Open Neural Network Exchange (ONNX) is a model format defined by several major manufacturers. ONNX Runtime is a library that can execute ONNX models. It was developed by Microsoft. It supports multiple platforms, including Android.
PyTorch is a machine learning library developed by Meta. YOLOv8 also uses Pytorch internally. In addition to Python environments, we can now use PyTorch in non-Python environments.