Munich meetup: Deep Dive into Tensorflow

Altoros is a consultancy employing more than 300 developers and architects in several locations worldwide  to help Global 2000 companies digitize revenue streams and shape customer experience. Altoros offers a methodology, technology building blocks, and end-to-end solution development. Our unique specialty is turning the latest advancements in cloud-native application development, customer analytics, behavioral science, blockchain, and artificial intelligence into products, platforms, and ecosystems with a high density of sustainable, crushing competitive advantage.

Altoros

Many thanks to the Tensorflow meetup sponsors!
<A HREF="http://windeln.de/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">windeln.de</A> for hosting and sponsoring beverages for the Tensorflow meetup
<A HREF="https://www.capeanalytics.com/" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Cape Analytics</A> for sponsoring food for the meetup
<HR>
 
Agenda:
6:30 - Doors open. Networking. Members meet each other. Pizza and beer
7:00 - Time series classification using Deep Learning and TensorFlow by <A HREF="https://de.linkedin.com/in/andreaspawlik" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Andreas Pawlik</A> 
7:30 - Q&A break. 
7: 50- Intro to the distributed version of TensorFlow (TensorFlow with big data on a cluster of computers) by <A HREF="https://de.linkedin.com/in/mihapelko" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Miha Pelko</A> 
8:20 -  Q&A break. 
8:40 - Wrap-up.
<HR>
 
Detailed agenda:
<IMG ALT="" HEIGHT="338" WIDTH="600" SRC="https://s.evbuc.com/https_proxy?url=http%3A%2F%2Fphotos4.meetupstatic.com%2Fphotos%2Fevent%2F7%2Fe%2Fe%2F3%2F600_452312483.jpeg&sig=ADR2i7_6i-x2NFjaGps3oOTv7B_8a63RNQ">
Time series classification using Deep Learning and TensorFlow by <A HREF="https://de.linkedin.com/in/andreaspawlik" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Andreas Pawlik</A> 
Abstract: 
The classification of time series is a core task in data science, yet it remains challenging. Triggered by the recent success of Deep Learning in classifying images, I will review and explore the potential of Deep Learning technologies and TensorFlow for the classification of time series. 
Bio: Andreas Pawlik is a data scientist using big data technologies with a focus on the automotive industry. He discovered his interest in delivering data-driven solutions as researcher in astrophysics, where he developed and used supercomputer simulations to investigate the formation of galaxies.
<IMG ALT="" HEIGHT="338" WIDTH="600" SRC="https://s.evbuc.com/https_proxy?url=http%3A%2F%2Fphotos4.meetupstatic.com%2Fphotos%2Fevent%2F7%2Fe%2Fc%2Fa%2F600_452312458.jpeg&sig=ADR2i78zMRpattlTmF-nDkm5wlksqox1xQ">
Intro to the distributed version of TensorFlow (TensorFlow with big data on a cluster of computers) by <A HREF="https://de.linkedin.com/in/mihapelko" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Miha Pelko</A>
Abstract:
Distributed deep learning lets you train bigger models and lets you train them faster. Since March it can be done using Tensorflow natively. I will present different ways to distribute the training and do a quick run-through about how to do it in Tensorflow.
Bio:
Miha Pelko is a data scientist specialised in the field of big data in the automotive industry. Formerly he was a researcher in the field of computational neuroscience, which means he has a special affinity to deep neural networks.
Both Andreas and Miha work as data scientists at NorCom in Munich, where they combine Big Data technologies and Machine Learning techniques to help customers solve problems in the automotive industry, with applications to autonomous driving, information search and retrieval, predictive maintenance, and others. 
In this context Andreas and Miha are exploring TensorFlow as one of several deep learning frameworks and would love to share and discuss our experiences with a broader audience. 
Many thanks to <A HREF="http://windeln.de" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">windeln.de</A> and <A HREF="https://www.capeanalytics.com/" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Cape Analytics</A> for sponsoring the Tensorflow meetup.

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Munich meetup: Deep Dive into Tensorflow

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Munich meetup: Deep Dive into Tensorflow

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