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ConvNets for understanding documents & RL for electricity systems
Thanks to SAP for hosting and sponsoring this Meetup! Talk 1: Chargrid: Towards Understanding 2D Documents Speaker: Dr. Christian Reisswig, SAP Deep Learning Center of Excellence Abstract: We introduce a novel type of text representation that preserves the 2D layout of a document. It encodes document pages as a two-dimensional grid of characters. Based on this novel representation, we present a generic document understanding pipeline for structured documents. This pipeline makes use of a fully convolutional encoder-decoder network that predicts a segmentation mask and bounding boxes. We demonstrate its capabilities on an information extraction task from invoices and show that it significantly outperforms approaches based on sequential text or document images. Bio: TBD Talk 2: Reinforcement learning for electricity systems Speaker: Adam Green Abstract: This talk reviews two years of work on energy_py - a reinforcement learning (RL) for energy systems (https://github.com/ADGEfficiency/energy_py). We will look at lessons learned designing the library, experience using the library with Open AI gym and energy_py environments. Also covered is the use of synthetic data generation in energy_py environments. Bio: Adam is an energy engineer who started his transition into data science two years ago. He now works at Tempus Energy, using supervised and reinforcement learning to control flexible electrical load that supports variable renewable energy. Lightning talks: -Michael Arthur Bucko on new computer vision meetup

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A meetup for academics, professionals and hobbyists interested in applications and latest developments in Machine Learning, and AI more broadly. We talk about:

• Computer vision, speech recognition, text mining, generative design

• New papers that we're excited about, and software that we use

• Cool applications of AI & machine learning, and how we made them

We strive to focus on the science & technology side, as opposed to the commercial side.

We typically meet the first Monday of every month.

We're always looking for interesting presentations. If you have a topic you want to talk about, anything from 10 to 45 minutes long, then please email gtrent@gmail.com. For talks we are explicitly *not* commercial. We organize this meetup because we are passionate about AI & ML, not to promote some product or service.

If an organization would like to host us, or sponsor food & drink, let us know.

Our official Twitter hashtag is #MLBerlin (https://twitter.com/search?q=%23MLBerlin).

VISIT US AT: http://machinelearning.berlin/

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