Introduction to Unsupervised and Semi-Supervised Learning in TensorFlow - PyData Global 2021

Introduction to Unsupervised and Semi-Supervised Learning in TensorFlow Speaker: Andrew Shao Summary Gathering high-quality labelled data in Deep Learning is both difficult and expensive, giving rise to the need for unsupervised and semi-supervised learning, which leverages unlabelled data to solve a variety of problems or improve current models. In this tutorial, we will learn and train models in TensorFlow with many unsupervised and semi-supervised learning methods, such as pseudo-labelling. Description ABSTRACT Gathering high-quality labelled data in Deep Learning is both difficult and expensive, giving rise to the need for unsupervised and semi-supervised learning, which leverage unlabelled data to solve a variety of problems or improve current models. In this tutorial, we will learn and train models in TensorFlow with many unsupervised and semi-supervised learning methods, such as pseudo-labelling. DESCRIPTION Firstly, we will cover the wide landscape of learning, touc