sawlon 
Introduction Traffic signs are crucial for ensuring road safety and guiding drivers. With self-driving cars and intelligent transportation systems becoming more common, automating the recognition of traffic signs is vital. This project, “Traffic Sign Classification,” leverages deep learning to identify traffic signs from images, laying the groundwork for safer roadways. Want to explore this project … Read more
sigmoid neuron, deep learning, neural network, activation function, non-linearity, machine learning, backpropagation, ReLU, vanishing gradient problem
In machine learning, an epoch refers to one complete pass through the entire training dataset. During each epoch, the model is exposed to all training examples and updates its parameters (weights and biases) to minimize the error between its predictions and the actual values. Why Epochs Matter Key Considerations: In Conclusion Epochs are a … Read more
The perceptron is a fundamental concept in machine learning, serving as one of the earliest models for binary classification. This document explores the perceptron algorithm, its architecture, and its significance in the broader context of machine learning. We will delve into how the perceptron functions, its training process, and its limitations, as well as its … Read more
Hierarchical Clustering: A Top-Down Approach to Grouping Data Hierarchical clustering is a popular unsupervised machine learning technique used to group similar data points together. 1 Unlike other clustering algorithms, it creates a hierarchy of clusters, representing a nested structure. This hierarchical structure can be visualized as a dendrogram. Types of Hierarchical Clustering There are … Read more
What is SVM? Support Vector Machine (SVM) is a versatile supervised machine learning algorithm that excels in classification and regression tasks. It’s particularly effective when dealing with high-dimensional data and complex decision boundaries. How Does SVM Work? At its core, SVM aims to find the optimal hyperplane that separates data points into different classes. This … Read more
OpenCV (Open Source Computer Vision Library) is an open-source, cross-platform library designed for real-time computer vision and image processing tasks. Initially released in 2000 and developed by Intel, it provides tools for analyzing and manipulating images and videos. OpenCV is widely used in applications involving object detection, facial recognition, motion tracking, augmented reality (AR), virtual … Read more
Nepal has been battling landslides and floods for decades, particularly during the monsoon season, which makes the country highly prone to natural disasters. Over the years, these natural disasters have led to countless fatalities and widespread destruction, particularly in the mountainous regions where the terrain and heavy rainfall make landslides a persistent threat. As of … Read more
The District Health Information System 2 (DHIS2) has emerged as a pivotal tool for enhancing the efficiency and effectiveness of health data management in Nepal. As a flexible, open-source platform, DHIS2 empowers healthcare providers, policymakers, and researchers to make informed decisions based on reliable, real-time data. Key Features and Benefits of DHIS2 DHIS2 in Action: … Read more
Apply for Nepal’s startup loan program to secure up to NPR 2.5 million at 3% interest. Get details on the process, eligibility, and requirements