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...

The perceptron is a fundamental concept in machine learning, serving as one of the earliest models for binary classification. This...

Hierarchical Clustering: A Top-Down Approach to Grouping Data Hierarchical clustering is a popular unsupervised machine learning technique used to group...

What is SVM? Support Vector Machine (SVM) is a versatile supervised machine learning algorithm that excels in classification and regression...

The District Health Information System 2 (DHIS2) has emerged as a pivotal tool for enhancing the efficiency and effectiveness of...

Apply for Nepal’s startup loan program to secure up to NPR 2.5 million at 3% interest. Get details on the...

Streamline your jewelry inventory with an RFID Jewellery Management System. Enhance security, track items, and boost efficiency in your store...