Introduction Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are often used interchangeably, but they are distinct fields with unique applications. In this blog, we will break down their differences, real-world use cases, ...
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) Introduction Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are revolutionizing the world of technology. From chatbots to self-driving cars, thes...
What is NLP Pipeline? NLP is a set of steps followed to build an end-to-end NLP software. Pipeline provides the thinking to build any app from a basic level up to advanced or real time used applications. NLP software consists of the following steps...
Here, is the complete guide to excel CI semester examination. Introduction to Soft Computing Introduction to Artificial Neural Networks Adaline and Madaline Gradient Descent Method MP Neurons Linear Separability, Perceptron Learning Rule Singl...
Introduction to CNTK Microsoft Cognitive Toolkit (CNTK) is an open-source, commercial-grade toolkit for distributed deep learning. It was designed to train and scale deep learning models efficiently on multiple GPUs and CPUs. While it has been supers...
Generative Adversarial Networks (GANs), a class of machine learning frameworks, have captured the imagination of researchers and enthusiasts alike. Their ability to generate highly realistic and creative outputs has pushed the boundaries of what is p...
Natural Language Processing (NLP) leverages various machine learning (ML) and deep learning (DL) models to understand, interpret, and generate human language. Below table shows the ML and DL models categorized based on various NLP tasks TaskML Mo...
