Generative Adversarial Networks (GANs) – A very young family member of Deep Neural Networks Architecture. Introduce by Ian Goodfellow and his team at the University of Montreal in 2014. GANs are class of unsupervised machine learning algorithm. Adversarial training “The most interesting idea in the last 10 years in the field […]
Unsupervised learning helps to find hidden jewel in data by grouping similar things together. Data have no target attribute. Algorithm takes training examples as the set of attributes/features alone. In this post I have summarise my whole upcoming book “Unsupervised Learning – The Unlabeled Data Treasure” in one page. […]
AILabPage defines Machine Learning as “A focal point where business, data and experience meets emerging technology and decides to work together”.
Deep Learning terminology can be quite overwhelming to newcomers.. This blog post covers important aspect of deep learning which can be defined as set of techniques that uses neural networks to simulate human decision-making skills. #AILabPage
AI is Transforming the Digital Economy through FinTech. How its doing that we will answer below by taking help through “Cognitive Ergonomics”. May assuming AI more human then it is.