Tag: activation

Activation functions in PyTorch

?For readers:Software engineers, architects, IT professionals, designers, etc. ?Objective of the article:Learn the activation function in PyTorch and lay the foundation for subsequent learning ?Column:Artificial Intelligence Tool Practice Table of Contents Overview logistic activation function Tanh activation function ReLU activation function Explore activation functions in neural networks Train and test models using different activation functions […]

Grad-CAM, Gradient-weighted Class Activation Mapping

Grad-CAM, or Gradient-weighted Class Activation Mapping, is a method for interpreting decisions made by convolutional neural networks. It provides insights by visualizing the model’s areas of interest for a given input. Principle: The key idea of Grad-CAM is to multiply the gradient of the output category (relative to the output of a specific convolutional layer) […]

Listener -, passivation, activation, using the listener to implement a simple version of the statistics website online user function

Listen to the status of an object bound to the HttpSession domain 1.HttpSessionBindingListener Entity class package com.etime.enetity; import javax.servlet.http.HttpSessionBindingEvent; import javax.servlet.http.HttpSessionBindingListener; //Here you need to implement the HttpSessionBindingListener interface and re-invent the method public class Student implements HttpSessionBindingListener{ private String name; private int age; public Student() { } public String getName() { return name; } […]

Nonlinear activation function (Activation Function)

What is an activation function? Why use an activation function? What activation functions are there? (Sigmoid, Tanh—hyperbolic tangent, ReLu—corrected linear unit, Softmax, etc.) How to choose the activation function? 1. What is the activation function The so-called activation function (Activation Function) is a function that runs on the neurons of the artificial neural network and […]

Neural Networks – Activation Functions, Backpropagation

Basic knowledge of neural networks sigmod(x) formula nature Application Scenario primitive image First Derivative Image composite image tanh(x) formula nature Application Scenario primitive image first derivative image mixed images Relu(x) formula nature Application Scenario primitive image First Derivative Image mixed images softmax(x) partial differential single layer perceptron definition partial differential multi-output perceptron definition partial differential […]

Install Elasticsearch and Kibana and Configure IK Tokenizer and Deactivation Dictionary Using Docker on Linux

Article directory 1 Pre-preparation 2 Install Elasticsearch 2.1 Pull the Docker image of ES 2.2 Running ES through Docker 3 Install Kibana 3.1 Pull Kibana’s Docker image 3.2 Running Kibana via Docker 4 Configure the IK tokenizer 4.1 ES’s standard tokenizer test 4.2 Download IK tokenizer 4.3 Configure IK tokenizer in ES 4.4 Testing the […]

Implementation of banner carousel, activation status display and classification list rendering, solving routing caching problems, using logical functions to split business (first-level classification)Vue3

Level 1 classification – implementation of banner carousel Category Carousel Realization There is only one difference between the category carousel and the homepage carousel, the interface parameters are different, and the rest of the logic is consistent adapter interface export function getBannerAPI (params = {<!– –>}) {<!– –> // The default is 1 and the […]