Tag: Deep Learning

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 […]

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 – Driving the Innovation in NLP
NLP – Natural Language Processing, Can’t rule out a very common saying i.e. “Garbage in, garbage out.” Every machine learning model needs quality data, correct, […]

Deep Learning – Introduction to Boltzmann Machines
Boltzmann Machines – A kind of imaginary recurrent neural network and normally get interpreted from the probabilistic graphical models. In a short its a neural […]

Deep Learning – Introduction to Recursive Neural Network
Recursive Neural Network – When the same set of weights applied recursively on structured inputs with the expectation of getting structured prediction that’s when we […]
Artificial Intelligence – Some Basic Pointers
Artificial Intelligence– A buzz word of today’s time which is used by almost every business and every industry of the modern world. Sir Andrew Ng […]

Machine Learning(ML) – Basic Terminologies in Context
Basic Terminology in Context – Machine learning should be treated as a culture in an organisation where business teams, managers and executives should have some […]

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 […]

Data Revolution – Performing Analytics at The Edge
Data Revolution – Almost every company is now in a race of data revolution, call it madness or an ideology but this is one of […]
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”.