DeepDream: Accelerating Deep Learning With Hardware
The DeepGramAI Hackathon has concluded, check out the project that Data Engineer Matthew Rubashkin worked on.
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Matthew Rubashkin
With a background in optical physics and biomedical research, Matt has a broad range of experiences in software development, database engineering, and data analytics. He enjoys working closely with clients to develop straightforward and robust solutions to difficult problems.
Recent Posts
TensorFlow RNN Tutorial
In this post, we’ll provide a short tutorial for training a RNN for speech recognition; we’re including code snippets throughout, and an accompanying GitHub repository. The software we’re using is a mix of borrowed and inspired code from existing open source projects.
Getting Started with Deep Learning
One way to give back to the open source community that provides us with tools is to help others evaluate and choose those tools in a way that takes advantage of our experience. We offer this analysis, along with explanations of the various criteria upon which we based our decisions.
TensorFlow Image Recognition on a Raspberry Pi
In this post, Matt talks about using TensorFlow to detect true and false positives in our Caltrain work.
Streaming Video Analysis in Python
In this post, we discuss our Raspberry Pi streaming video analysis software, which we use to better predict Caltrain delays.
Introduction to Trainspotting
In this post we’ll start looking at the nuts and bolts of making our Caltrain work possible: image processing, video analysis, and image recognition.