11th Deep Learning Meetup in Vienna

This is a past event

100 people went

Casinos Austria Innovation Hub

Rennweg 44 · Vienna

How to find us

Entry only until 19:00!! 100 people maximum

Location image of event venue

Details

Hi to all Deep Learning interested people,

Our 11th meetup is coming up, and we have two exciting topics this time again: Distributed Deep Learning (+ Benchmarking) and a Bidirectional LSTM-HMM approach.

Our agenda is as follows:

• Welcome (Tom Lidy)

• Introduction by our host: Casinos Austria (Isabell Brandenberger)

• A Comparison of Deep Learning Frameworks for Distributed Training (Peter Ruch)

Deep Networks are computationally very expensive and training of state of the art models can take from a few hours up to several days. By distributing the training process across multiple devices/nodes it's possible to significantly speed up one's experiments or to train larger models. Peter will give a short introduction to distributed deep learning, present the common problems and pitfalls, and discuss performance benchmarks of the most popular DL-Frameworks when training across multiple devices/nodes.

• An Introduction to Bidirectional LSTM-HMM for Sound Event Detection (Ana Jalali)

This talk is about the hybrid system BLSTM-HMM (Bidirectional Long Short Term Memory - Hidden Markov Model) and is used for tasks such as Sound Event detection and Speech recognition. BLSTMS are extensions of Recurrent Neural Networks (RNNs) and they are a solution to the vanishing gradient problem. Bidirectional LSTMs not only have a connection to their previous steps, but also to the future steps. Hidden Markov Models are extended to this system in order to improve the accuracy of the mentioned tasks.

• Latest News and Hot Topics (Jan Schlüter and Tom Lidy)

• Open discussions

This meetup takes place in the Casinos Austria Innovation Hub and we will kindly be supported by drinks & snacks.

IMPORTANT NOTE: We will start at 18:30 sharp and entry into the building is only possible until 19:00 (no later entry possible!).

Looking forward to a fruitful meetup,

Tom, Jan and Alex