Monthly Archives: November 2017

What is an “embedding” for a dictionary of words?  That is the question this article addresses. When one uses neural networks for linguistic processing, one of the first things to consider is “how should a word be represented”.   In other … Continue reading →

I’ve been interested in joining some Kaggle competitions to sharpen my Data Science and Deep Learning skills.  So, I thought I would report on my experiences – starting with an easy competition :  recognize digits from the MNIST training set.  … Continue reading →

Two interesting papers were published this week demonstrating some remarkable progress in the use of GANs to produce and enhance imagery that is surprisingly realistic.  The first paper, from Nvidia (http://research.nvidia.com/publication/2017-10_Progressive-Growing-of)  – a company that produces GPUs that are often … Continue reading →