Developing a Webcam Arcade
Controller using
Deep Learning

by TensorFlow & Keras

In this session we’ll go through 3 steps:

- Demo - Control video game using Deep Learning
We will demo an application which makes use of deep learning to control a video game through webcam and head gestures.

- Deep Learning Overview
We will briefly discuss the practical benefits of machine learning over programming, and the benefits of deep learning over classical machine learning for building visualization and NLP models.

- Deep Learning API’s & Architecture
We will Introduce TensorFlow & Keras through code examples, go through essential parts of the demo application and talk about the architecture of this application and other Deep Learning based systems.

by Haim Cohen, Machine Learning Engineer and Big Data Architect

DevOps Concerns for Deep Learning Systems

Data science demands for computing and environment are ever growing, pipelines are getting more complex than ever, in research and production. Cloud resourced offer a solid solutions for those dynamic needs, alongside new budget and management challenges.

We will review and demonstrate various strategies for creating a budget friendly, provider and environment agnostic data science pipelines using cutting edge tools such as kubernetes, kubeflow & many more.

by Haggai Philip Zagury, DevOps Architect

Call us    +972 (3) 6488618
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