Category: Neural Networks

2021 The Year of Transformers – Deep Learning

Transformer –  Transformers are one of the types of neural network architecture and known for their staunch behaviour for the assigned tasks to produce best […]

Neural Networks vs Deep Learning

Deep Learning Vs Neural Networks – Demystifying the Differences

Demystifying the Gaps – Deep Learning Vs Neural Networks –  As the name suggests “Neural Network”, or ANN they are inspired by the human brain […]

Deep Learning – Deep Convolutional Generative Adversarial Networks Basics

Deep Convolutional Generative Adversarial Networks- Sir. Yann LeCun, Facebook’s AI research director made a very intuitive and interesting comment about GANs “Adversarial training “The most […]

Deep Learning – Backpropagation Algorithm Basics

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 […]

Deep Learning – Introduction to Recurrent Neural Networks

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

Artificial Neural Networks - Everything You Need To Know

How Neural Network Algorithms Works : An Overview

Conceptually artificial neural networks is inspired by neural networks in the brain but actual implementation in machine learning are way far from reality. Take in multiple inputs, and produce a single output.

Generative Adversarial Networks (GANs) - The Basics You Need To Know

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

Generative Adversarial Networks (GANs) – Combination of two neural networks which is a very effective generative model network, works simply opposite to others. The other neural network […]

Deep Learning – Introduction to Artificial Neural Networks

Deep Learning – Introduction to Artificial Neural Networks

Artificial Neural Networks – As the name suggest “Neural Network”, they are inspired by the human brain system. ANNs were originally designed with biological neurons […]

Demystifying Deep Learning – Back to Basics

Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.

2018 Year of Intelligence – Artificial & Augmentation

Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.