PHP User Group Munich Meeting

Join us for interesting talks, fun discussions, and be part of the Munich PHP community!

Schedule:

6:30pm - 7:00pm - socializing (with pizza, soft drinks and some beer)
7:00pm - 7:45pm - first talk
7:45pm - 8:00pm - break
8:00pm - 8:45pm - second talk

After the second talk there will be the possibility for further discussions.

First Talk:
Redis (Cluster) - A brief introduction
Stefan Müller (Check24)

Redis is one of the most popular key value storage and is used very differently, because of it's configuration possibilities and wide range of functions.
I want to introduce you the main functions of this in-memory database and what you should pay attention when using it. Also I want to show you the cluster-mode and what it really means.
Last but not least there are clients for PHP I want to show you.

Stefan Müller started programming PHP at the age of 14. Since that time he has learnt other programming languages, but after a few years he came back to his PHP roots and focuesd his work at CHECK24 developing HTTP-APIs and improving the architecture of the core system.

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Second Talk:
Client-side Artificial Intelligence in JavaScript using Tensorflow.js
Mathias Burger (TNG Technology Consulting)

In a practical example I will show you how to build a gesture classifier for a vertical scrolling browser game. Along the way, we will discuss the Tensorflow.js API and a specific model architecture called MobileNet.

In practice, edge computing is becoming evermore important and workloads are moved away from the backend. Tensorflow.js enables you to run AI models completely in the browser, which is also great for data privacy because often there is no more need to transfer sensitive data to backend servers.

Mathias Burger is enthusiastic about open source software and always interested in the latest trends in IT, especially in computer vision. He is a Senior Consultant at TNG Technology GmbH and is currently working on a defect detection system in the aerospace industry. For deep learning, he likes to use Tensorflow, Keras, Pytorch and fast.ai, depending on the use case.