64. PDG: The Devil is in the Decoder

Thema: The Devil is in the Decoder https://arxiv.org/abs/1707.05847 Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. ... Read More | Share it now!

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17. Treffen Team TensorFlow: 2nd Meeting on Object Detection

!!! Announcement: The meeting is scheduled on 1st of August. There will be no meeting at 25th of July !!! In the last meeting, we looked at the harder-to-solve task of object detection, i.e. drawing bounding boxes and classifying the framed objects. We di... Read More | Share it now!

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Applications of Artificial Intelligence

In the last few years, artificial intelligence did a great leap forward. We take a look at the history of AI and the recent breakthroughs, which are mainly driven by deep learning. Then we will look at the current possibilities and applications of AI in r... Read More | Share it now!

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63. PDG: The Cramer Distance as a Solution to Biased Wasserstein

Thema: The Cramer Distance as a Solution to Biased Wasserstein Gradients https://arxiv.org/abs/1705.10743 Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. ... Read More | Share it now!

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DataScience: Instacart Challenge

Wir arbeiten weiter an der Kaggle Instacart Challenge (https://www.kaggle.com/c/instacart-market-basket-analysis) Wir haben bis jetzt an Datenexploration gearbeitet, erste Modelle gebaut (Code im Github) und ein paar Features engineered. Folgende Ideen h... Read More | Share it now!

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62. PDG: Gradient Episodic Memory for Continuum Learning

Thema: Gradient Episodic Memory for Continuum Learning https://arxiv.org/abs/1706.08840 Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. Meetup url: https://www.meetup.com/de-DE/karlsruhe-ai/events/241721991/?eventId=241721991 ... Read More | Share it now!

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16. Treffen Team TensorFlow: Object Detection with R-CNN

!!! Announcement: The meeting is scheduled on 18th of July. There will be no meeting at 11th of July !!! In the last weeks, we followed the chronological development / publication of Convolutional Neural Networks (CNNs) for image classification. In this m... Read More | Share it now!

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DataScience: Instacart Challenge

Wir arbeiten weiter an der Kaggle Instacart Challenge (https://www.kaggle.com/c/instacart-market-basket-analysis) Wir haben bis jetzt an Datenexploration gearbeitet, erste Modelle gebaut (Code im Github) und ein paar Features engineered. Folgende Ideen h... Read More | Share it now!

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61. PDG: Automatic Goal Generation

Thema: Automatic Goal Generation for Reinforcement Learning Agents Paper: https://arxiv.org/pdf/1705.06366.pdf Es geht um die Anwendung von Adverserial Nets im Kontext des Reinfrocement Learnings. Auf reddit wurde es „overkill“ genannt aufgrun... Read More | Share it now!

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DataScience: Instacart Challenge

Wir arbeiten weiter an der Kaggle Instacart Challenge (https://www.kaggle.com/c/instacart-market-basket-analysis) Wir haben bis jetzt an Datenexploration gearbeitet, ein Baseline-Modell gebaut und uns erste zusätzliche Features überlegt. Tasks bis nächste... Read More | Share it now!

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