*Finally managed to make some time to write a blog post this term. Looking forward to getting back into blogging more frequently. Introduction Ian Goodfellow introduced GANs in 2014, and since then they have shown incredible quality in the generation of images. How do GANs work? GANs consist of two competing networks - a generator … Continue reading Generative Adversarial Networks (GANs) for Text using word2vec: Part 1
Introduction I was fascinated by Zipf's Law when I came across it on a VSauce video. It is an empirical law that states that the frequency of occurrence of a word in a large text corpus is inversely proportional to its rank in its frequency table. The frequency distribution will resemble a Pareto distribution … Continue reading Does Zipf’s Law Apply to Alzheimer’s Patients?
As part of my Machine Learning course, we have to work on a group project. We decided to pursue a reasonably unchartered territory in Reinforcement Learning. Even though none of us are experts in this field, we want to learn our way through the next three months, and hopefully, you get some insights from it … Continue reading Autonomous Transfer Learning in Reinforcement Learning: A Proposal