Nacionalni portal odprte znanosti

We introduce techniques for rapidly transferring the information stored in one neural net into another neural net. The main purpose is to accelerate the training of a significantly larger neural net. During real-world workflows, one often trains very many different neural networks during the experim ...

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges. We propose a novel sparsi ...

This hands-on tutorial will work through the pipeline of developing, training and deploying deep learning applications by using MXNet. Multiple applications including recommendation, word embedding will be covered. The participants will learn how to write a deep learning program in a few lines of co ...