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Python 3
Activation Functions

Activation Functions

Activation Functions

Activation Functions

Activation functions help the neural network learn complex patterns by introducing non-linearity.

This project uses two activation functions.

ReLU

ReLU (Rectified Linear Unit) is commonly used in hidden layers. It allows the model to learn efficiently and speeds up training.

Softmax

Softmax is used in the output layer for multi-class classification. It converts the output values into probabilities, making it easier to predict the correct image class.

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Activation Functions

Contents

Activation Functions

ReLU

Softmax

Building an Image Classification System Using CNN

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Computer Architecture

HTML 5 References Tutorial

Docker Tutorial

GIT (Using Github) Tutorial

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GIT Guide

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Advanced Data Structures

Spring Framework Tutorial

Spring Boot Tutorial

Kotlin Tutorial

Apache Cordova Tutorial

Python Tutorial

SASS-SCSS Tutorial

MongoDB Tutorial

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Pandas Tutorial

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Tkinter Tutorial

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Java Examples Tutorial

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Java 8 Tutorial

Java 9 Tutorial

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Building a Age Calculator App Using ReactJS

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