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4. Treffen Team TensorFlow

Februar 10, 2017 @ 4:00 pm - 6:00 pm

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

Link zum Repo auf Github: https://github.com/ML-KA/team-tensorflow
Link zum Protokoll des letzten Treffens: https://github.com/ML-KA/team-tensorflow/blob/master/sprint1_tf_tutorial/docs/2016-02-03-treffen-no-3.md

### Todos:
– `mnist_with_summaries` und `deep_mnist` für HASY-Datensatz anpassen [Link Paper](https://arxiv.org/abs/1701.08380), [Link Datensatz](https://www.zenodo.org/record/250239), evtl. noch Export nach tensorboard hinzufügen (Vorlage: `mnist_with_summaries`)
– Starten mit dem Stanford Kurs: [CS 20SI: Tensorflow for Deep Learning Research](http://web.stanford.edu/class/cs20si/index.html), [1. Assignment](http://web.stanford.edu/class/cs20si/assignments/a1.pdf) bearbeiten

Details

Datum:
Februar 10, 2017
Zeit:
4:00 pm - 6:00 pm
Veranstaltungkategorie:
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Veranstalter

ML-KA
E-Mail:
contact@ml-ka.de
Website:
http://www.ml-ka.de

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Pioniergarage
Rintheimer Straße 15
Karlsruhe, Baden 76133 Deutschland
+ Google Karte
Website:
https://pioniergarage.de

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