Introduction to semi-supervised learning and adversarial training

What is semi-supervised learning? Every machine learning algorithm needs data to learn from. But even with tons of data in the world, including texts, images, time-series, and more, only a small fraction is actually labeled, whether algorithmically or by hand. Most of the time, we need labeled data to do supervised machine learning. I particular,Continue reading “Introduction to semi-supervised learning and adversarial training”

What is a Transformer?

An Introduction to Transformers and Sequence-to-Sequence Learning for Machine Learning New deep learning models are introduced at an increasing rate and sometimes it’s hard to keep track of all the novelties. That said, one particular neural network model has proven to be especially effective for common natural language processing tasks. The model is called a TransformerContinue reading “What is a Transformer?”