neural-network – Page 2

GJO-LSTM-Adaboost optimizes Adaboost classification prediction of long short-term memory neural network LSTM based on the golden jackal algorithm

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For code acquisition, paper reproduction and scientific research simulation cooperation, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization […]

Andrew Ng Deep Learning_1_Week3 Shallow Neural Network

Plane data classifier based on single hidden layer neural network algorithm @[TOC](Plane data classifier based on single hidden layer neural network algorithm) 1. Package 2. Data set 3. Use logistic regression for classification prediction 4. Neural network model 1. Determine the structure of the neural network 2. Initialize the parameters of the model—W1, b1, W2, […]

Deep Neural Networks – Convert PyTorch Classification Model and Launch OpenCV v4.8.0 with OpenCV C++

Previous tutorial: Convert a PyTorch classification model and publish with OpenCV Python Original author Anastasia Murzova Compatibility OpenCV >= 4.5 Goals In this tutorial you will learn how to Convert PyTorch classification model to ONNX format Run the converted PyTorch model using the OpenCV C/C++ API Provide model inference We will discuss the above points […]

mGesture recognition algorithm matlab simulation based on GA-CNN genetic optimization convolutional neural network

Table of Contents 1. Algorithm simulation effect 2. Summary of theoretical knowledge involved in algorithms 2.1 Genetic algorithm optimization stage 2.2 Convolutional neural network classification stage 3.MATLAB core program 4. Obtain the complete algorithm code file 1. Algorithm simulation effect The matlab2022a simulation results are as follows: CNN training results CNN training results after GA […]

[Pytorch] Computer Vision Project – Convolutional Neural Network CNN model recognition image classification

Directory I. Introduction 2. CNN visual interpreter 1. Working principle of convolution layer 3. Detailed step instructions 1. Data set preparation 2.DataLoader 3. Build model CNN 3.1 Set up the device 3.2 Build CNN model 3.3 Set loss and optimizer 3.4 Training and testing loop 4. Model evaluation and result output 1. Preface The overall […]

Image classification recognition and training based on convolutional neural network

1. Introduction Pytorch reproduces the lenet5 model and detects your own handwritten digital images. It is relatively simple to build a model using the torch framework, but you will also encounter many problems. There is a lot of information on the Internet, and the methods of building the model are similar. After I tried to […]

[pytorch] Manually build a neural network and train it

0.Write in front The previous blog was all illustrative. It is unclear whether the actual code can run. Please watch carefully. In this article, fashion data is directly used to implement simple training of softmax and the result output is completed. A prediction is implemented and the output result is observed. And more importantly, here […]

Convolutional Neural Network-Clothing Image Classification

Introduction: The code for this tutorial uses a neural network to train an image classification machine learning model that can classify handwritten digits 0-9. It does this by creating a neural network. The neural network takes as input the pixel values of a “28 pixel x 28 pixel” image and outputs a list of 10 […]

[Power Forecasting] Optimizing the time convolutional neural network DBO-TCN based on the dung beetle algorithm to achieve power load forecasting with matlab code

Multiple regression prediction/optimizing the time convolutional neural network DBO-TCN based on the dung beetle algorithm to achieve power load prediction with matlab code