classification – Page 2

Using Python to implement Naive Bayesian spam mailbox classification

1. Experiment purpose Through this experiment, the aim is to use the Naive Bayes algorithm to classify spam mailboxes, and to be able to understand and master the following contents: Understand the basic principles and application scenarios of the Naive Bayes algorithm. Learn how to preprocess text data, including removing punctuation, converting to lowercase letters, […]

Practical implementation of motor imagery EEG classification task based on CSP

Public data set based on motor imagery: Data set IVa (BCI Competition III)1 For data description, please refer to the previous article: https://blog.csdn.net/qq_43811536/article/details/134224005?spm=1001.2014.3001.5501 For time-frequency spatial domain analysis of EEG signals, please refer to the previous article: https://blog.csdn.net/qq_43811536/article/details/134273470?spm=1001.2014.3001.5501 For CSP-based motor imagery EEG feature extraction and visualization, please refer to the previous article: https://blog.csdn.net/qq_43811536/article/details/134296308?spm=1001.2014.3001.5501 CSP […]

14-NLP’s Bert implements multi-classification of text

Article directory code Interpretation of the overall code process debug the above code Code from pypro.chapters03.demo03_data acquisition and processing import train_list, label_list, val_train_list, val_label_list import tensorflow astf from transformers import TFBertForSequenceClassification bert_model = “bert-base-chinese” model = TFBertForSequenceClassification.from_pretrained(bert_model, num_labels=32) model.compile(metrics=[‘accuracy’], loss=tf.nn.sigmoid_cross_entropy_with_logits) model.summary() result = model.fit(x=train_list[:24], y=label_list[:24], batch_size=12, epochs=1) print(result.history) # Save the model (the essence of […]

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 […]

Example of custom SQL statements using case/when statements to implement paging queries and classification sorting in JPA programming

1. Requirement background Query the list of work orders initiated by me and invited by me. It requires paging query. The specific requirements for sorting are: Sort by status first, with unprocessed items at the front Then sort by handler, those who were invited are ranked first, and those who initiated themselves are ranked last. […]

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 […]

[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 […]

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 […]

Tag: classification