Category: Deep Learning

Deep Learning Machine Learning

Generative Adversarial Networks: The Art of Powerful AI Creativity

V Sharma

Generative Adversarial Networks (GANs) consist of two main components: a generator network and a discriminator network. The generator network generates synthetic data samples, while the discriminator network aims to distinguish…

Deep Learning Machine Learning

Demystifying Convolutional Neural Networks: The Physics of Machine Vision

V Sharma

CNNs are like the Sherlock Holmes of the digital world, equipped with powerful tools and methods to make sense of images in astonishing ways. They're not just about pixels; they're…

Deep Learning Machine Learning

2021 The Year of Transformers – Deep Learning

V Sharma

Transformers are a type of neural network architecture that has gained significant popularity due to their unwavering dedication to achieving optimal results in completing assigned tasks. Deep learning, which is…

Deep Learning Machine Learning

Deep Learning – Driving the Innovation in NLP

V Sharma

Natural language processing, one of the most important technologies of today's information age. It's everywhere and used on almost at every instance in daily life like emails, machine translation, google…

Deep Learning Machine Learning

Deep Learning – Introduction to Boltzmann Machines

V Sharma

The Boltzmann machine, a type of stochastic spin-glass model with an external field, has been subject to various nomenclatures including the Sherrington-Kirkpatrick model with an external field and the Ising-Lenz-Little…

Deep Learning Machine Learning

Deep Learning Algorithms: A Basic Yet Powerful Introduction

V Sharma

Deep learning leverages autonomous learning mechanisms that depend on simulated neural networks, commonly referred to as artificial neural networks (ANNs), to replicate the intricate cognitive operations of the brain implicated…

Deep Learning Machine Learning

Deep Learning – Introduction to Recursive Neural Networks

V Sharma

Recursive neural networks belong to the same family of models as deep neural networks, given that they can be seen as a modification of them. Usually, these results are produced…

Deep Learning Machine Learning

Role of Convolutional Layer in Convolutional Neural Networks

V Sharma

The indispensable feature of convolutional neural networks, also denoted as CNNs, is the convolutional layer, which is commonly perceived as the pivotal and fundamental component that confers CNNs their appellation.…

Deep Learning Neural Networks

Artificial Neural Networks: Understanding the Real Power and Potential

V Sharma

ANNs are an emerging discipline, and they are the subject of research, study, and emulation for the information-processing capabilities of neurons in the human brain. Sadly, many researchers are too…

Deep Learning Machine Learning

Deep Learning – Deep Convolutional Generative Adversarial Networks Basics

V Sharma

Generative Adversarial Networks are a class of algorithms used in the unsupervised learning environment. As the name suggests they are called Adversarial Networks because they are made up of two…

Deep Learning

Deep learning – Introduction to Powerful Deep Reinforcement Learning

V Sharma

Through the use of deep neural networks, the agent can learn directly from raw data, enabling it to handle high-dimensional input spaces and complex decision-making processes. Deep Reinforcement Learning finds…

Deep Learning Machine Learning Neural Networks

Deep Learning – Backpropagation Algorithm Basics

V Sharma

Backpropagation Algorithm - An important mathematical tool for making better and high accuracy predictions in machine learning. This algorithm uses supervised learning methods for training Artificial Neural Networks. The whole…

Machine Learning Deep Learning

Deep Learning – Introduction to Recurrent Neural Networks

V Sharma

Artificial neural networks (ANNs) are biologically inspired computing code with the number of simple, highly interconnected processing elements for simulating human brain workings to process information model. There is a…

Deep Learning Machine Learning Neural Networks

How Neural Networks Algorithms Works: An Overview

V Sharma

Artificial neural networks are a type of computing model that takes inspiration from the structure and function of the neural networks found in the human brain. Nevertheless, machine learning has…

Deep Learning Machine Learning

Deep Learning – Introduction to Powerful Generative Adversarial Networks (GANs)

V Sharma

GANs consist of two neural networks i.e. Generator that generates a fake image of our currency note example and a disa criminator that classifies it into real or fake. The…

Deep Learning Machine Learning

Deep Learning (DL) – Introduction to Basics

V Sharma

AILabPage defines Deep learning is "Undeniably a mind-blowing synchronisation technique applied on data with computing power, skills and experience which practically has no limits“.