

Related Posts

Planning a production ready kubernetes with fundamental Controllers & Operators — Part 5 — Scheduling
Originally posted on the Israeli Tech Radar on medium.
TL;DR A brief overview of scheduling in Kubernetes, “the almighty” controller loop, and additional “influencers” that enhance workload management.
Read MoreWhy blog in 2024 ? | A Reflection on Diversity of thought and the Power of anecdotes
TLDR — Some insights to what’s on my mind professionally and some anecdotes on the why & what I am going to deal with in 2024, + reachout for collaboration.
Read More
Developing a Webcam Arcade Controller using Deep Learning by TensorFlow & Keras - part 1, Meetup
We will introduce Deep Learning, demo a DL model in action, introduce an architecture for training and use of such model in a production environment, and show some critical sections of the code. Demo - Control video game using Deep Learning (15 min) - by Haim Cohen, Big Data Architect from Tikal. We will demo an application which makes use of deep learning in order to control a video game through webcam and head gestures. Lectures: Deep Learning - Starting Now (20 min) - by Shai Tal, Data Scientist and Machine Learning Engineer from Tikal. Deep learning is a tool. And tools need to be understood. We will briefly discuss the practical benefits of machine learning over programming, and the benefits of deep learning over classic machine learning for building visualisation and NLP models. Deep Learning API’s & Architecture (30 min) by Haim Cohen. We will Introduce TensorFlow & Keras through code examples, go through main parts of the demo application and talk about the architecture of the demo application and other Deep Learning based systems. DevOps Concerns for Deep Learning Systems (30 min) - by Haggai Philip Zagury, DevOps Architect from Tikal.
Read More