Warning: This post contains a mixture of excitements, frustrations and rants! Today, Machine Learning/Deep Learning people have been sharing their great excitements over Ali Rahimi's talk at NIPS (from min 57 onwards). Undoubtedly, it's a great talk and you should check it out if you care about fundamental issues and the lost rigor in Deep Learning … Continue reading NIPS, AI hype and the lost rigor
In this post, I'm going to briefly write about the recently launched Andrew Ng's coursera courses in Neural Network and Deep Learning that I just finished with certificates. I want to argue that there's merit in taking these courses even if you're already familiar with some good portion of the syllabi. First a short relevant … Continue reading Overview of Andrew Ng’s deeplearning.ai courses
Word embedding is one of the interesting areas of research in Natural Language Processing. There are huge amount of materials with a lot of interesting ideas. I have been studying some of them lately and in this post, I'd like to create a brief account of the ideas I have found most interesting so far. … Continue reading What’s up with word embedding?