A First Glimpse of Rigetti’s Quantum Computing Cloud

Quantum computing has been picking up the momentum, and there are many startups and scholars discussing quantum machine learning. A basic knowledge of quantum two-level computation ought to be acquired. Recently, Rigetti, a startup for quantum computing service in Bay Area, published that they opened to public their cloud server for users to simulate the … More A First Glimpse of Rigetti’s Quantum Computing Cloud

Word Mover’s Distance as a Linear Programming Problem

Much about the use of word-embedding models such as Word2Vec and GloVe have been covered. However, how to measure the similarity between phrases or documents? One natural choice is the cosine similarity, as I have toyed with in a previous post. However, it smoothed out the influence of each word. Two years ago, a group … More Word Mover’s Distance as a Linear Programming Problem

Short Text Mining using Advanced Keras Layers and Maxent: shorttext 0.4.1

On 07/28/2017, shorttext published its release 0.4.1, with a few important updates. To install it, type the following in the OS X / Linux command line: >>> pip install -U shorttext The documentation in PythonHosted.org has been abandoned. It has been migrated to readthedocs.org. (URL: http://shorttext.readthedocs.io/ or http:// shorttext.rtfd.io) Exploiting the Word-Embedding Layer This update is mainly due … More Short Text Mining using Advanced Keras Layers and Maxent: shorttext 0.4.1

“selu” Activation Function and 93 Pages of Appendix

A preprint on arXiv recently caught a lot of attentions. While deep learning is successful in various types of neural networks, it had not been so for feed-forward neural networks. The authors of this paper proposed normalizing the network with a new activation function, called “selu” (scaled exponential linear units): . which is an improvement … More “selu” Activation Function and 93 Pages of Appendix