When reading about Machine Learning, the majority of the material you’ve encountered is likely concerned with classification problems. You have a certain input, and the ML model tries to figure out the features of that input. For example, a classification model can decide…
Like many other Machine Learning concepts, meta-learning is an approach akin to what human beings are already used to doing. Meta-learning simply means “learning to learn.” Whenever we learn any new skill there is some prior experience we can relate to, which makes the…
Graph from COVID-19Projects
Over just a few months, the new coronavirus disease (COVID-19) has grown from several cases in Wuhan province to a global health threat. It all started in December 2019, after which the virus was first recognized by the World Health…
Deep Learning (DL) has had immense success over the past few years in areas such as computer vision and speech recognition. Recently, DL techniques have also been used to enhance the performance of Recommender Systems (RS). Most major websites and services are using RS…
Before we begin, it’s important to make a distinction between the two techniques in question — Deep Learning (DL) and Reinforcement Learning (RL). By imitating the processes in the human brain, DL uses neural networks to discover patterns in data and make decisions.
In this post, we discuss the details behind our GAN demo at RealityEngines.AI.
Generative adversarial networks (GANs) are viewed by many as the most exciting deep learning development of the last decade, with many applications including data augmentation, image generation…
In the last decade or so, there has been a growing number of applications of machine learning in domains that have a significant and direct impact on human life. In these domains, it is common to find that machine learning models end up learning societal biases and…