69. PDG:  Coulomb GANs: Provably Optimal Nash Equilibria via Pot

Thema: Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields Paper: https://arxiv.org/abs/1708.08819 Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. https://www.meetup.com/de-DE/karlsruhe-ai/events/242983894/?eventId=242983894 ... Read More | Share it now!

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Building a Data Science Laboratory

Imagine you want to build a laboratory for data science. It’s meant to be the engine room of your data-driven organization. In it, mad data scientists use arcane practices to predict the future and destroy the competition – well, at least that... Read More | Share it now!

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68. PDG:  Safety Verification of Deep Neural Networks

Thema: Safety Verification of Deep Neural Networks Paper: https://arxiv.org/abs/1610.06940 Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. https://www.meetup.com/de-DE/karlsruhe-ai/events/242798511/?eventId=242798511 ... Read More | Share it now!

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67. PDG:  A Distributional Perspective on Reinforcement Learning

Thema: A Distributional Perspective on Reinforcement Learning Paper: https://arxiv.org/abs/1707.06887 Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. https://www.meetup.com/de-DE/karlsruhe-ai/events/242646716/ ... Read More | Share it now!

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66. PDG:  Reading Wikipedia to Answer Open-Domain Questions

Thema: Reading Wikipedia to Answer Open-Domain Questions Paper: https://arxiv.org/abs/1704.00051 Github: https://github.com/facebookresearch/DrQA Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. https://www.meetup.com/de-DE/karlsruhe-ai/events/2... Read More | Share it now!

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65. PDG: Visual Question Answering with Memory-Augmented Network

Thema: Visual Question Answering with Memory-Augmented Networks https://arxiv.org/abs/1707.04968 Wir sind im Informatik-Gebäude des KIT (50.34), Raum -109. https://www.meetup.com/de-DE/karlsruhe-ai/events/242232888/?eventId=242232888 ... Read More | Share it now!

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Team TensorFlow 18: GAN (Generative Adversarial Network)

We finished our discussion about object detection models. Our next topic are Generative Adversarial Network (GAN). They evolved from the fact that trained CNNs can be easily fooled by minimal perturbations in the input image which are imperceptible for hu... Read More | Share it now!

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Team DataScience: Ferienprogramm

Aufgrund der Klausurenphase suchen wir uns ein paar weniger zeitintensive Aufgaben bis wieder an den Challenges weitergearbeitet wird. Eine Möglichkeit ist dieses Prediction-Tutorial: https://www.lynda.com/Data-Science-tutorials/Welcome/548594/598220-4.ht... Read More | Share it now!

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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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