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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.
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Cloud Native Devs!, TechRadarCon Talk
- Haggai Philip Zagury (hagzag)
- Development , Developer experience ( dev ex) , Presentations , Kubernetes , Youtube , Production readiness
Cloud Environments and Architectures, such as Serverless and Microservices, and their effective Deployment and Stability of Production have been our main focus, but we are now seeing the developer experience shifting. Forced to combine many subsystems together on our laptops it has become a mirror of the cloud. We used to call this our Integrated development Environment, and we should start treating it as one. In this session, we will take a short tour of many patterns & tools designed to enhance the developer experience. From various integrations augmenting our existing IDE’s to Internal Development Platforms designed as self-service platforms for developers.
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Planning a production ready kubernetes with fundamental Controllers & Operators — Part 4
Originally posted on the Israeli Tech Radar on medium.
Welcome back to part four of our series on building a production-ready Kubernetes cluster with fundamental controllers and operators! In the previous parts, we explored essential components like Secrets and DNS management. Today, we’ll delve into the world of Ingress, a critical concept for routing external traffic to your applications within the cluster. To explain Ingress, I’ll be taking the Analogy approach, I’ll use the analogy of a city compared to a modern distributed computer:
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