Check out FsCNTK – a functional programming approach to building CNTK models in F# (very much a work in progress). – https://github.com/fwaris/FsCNTK And a tool to visualize CNTK models at a deeper level (that is available out of the box … Continue reading →

Deep Learning (DL) has achieved remarkable performance on ‘cognitive’ tasks such as object recognition in images, real-time spoken language translation, etc. These are monumental achievements that have transformed our thinking about what machines could do for us. DL, it turns … Continue reading →

Finite state machines (FSM) are a common technique for recognizing patterns over streams of data. However basic FSM cannot easily handle noisy data such as sensor data from a wearable device that is generated using human limb movement. This session … Continue reading →

Apache Storm is a scalable ‘stream computing’ platform that is fast gaining popularity. Hadoop and Storm can share the same cluster and the two complement each other well for different computing needs – batch for Hadoop and near-real-time for Storm. … Continue reading →

Wearable computing is undeniably a hot topic currently, what with all the major mobile players (Apple, Google and Microsoft) having entered the market. There is also a plethora of smaller players such as Timex, Nike, Pebble, etc. Cheap, ubiquitous wearable computers … Continue reading →