Big Data World

9 - 10 OCTOBER 2019, MARINA BAY SANDS EXPO AND CONVENTION CENTRE, SINGAPORE

A BIG DATA EVENT FOR A DATA DRIVEN WORLD

Co-Located With:

  • Cloud Expo Europe
  • Cloud & Cyber Security Expo
  • Smart IOT London
  • Data Centre World
  • ECESG

Co-Located With:

  • Cloud Expo Europe
  • Cloud Security Expo
  • Smart IoT
  • Data Centre World
  • ECESG

2018 Conference Programmes

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Deep Learning using TensorFlow

10-Oct-2018
AI and Machine Learning Theatre
Deep learning works on large volumes of unstructured data such as human speech, text, and images to enable powerful use cases such as speech-to-text transcription, voice identification, image classification, facial or object recognition, analysis of sentiment or intent from text, and many more. In the last few years, TensorFlow has become a very popular deep learning framework for image recognition and speech detection use cases.

Today, the most significant challenge in deep learning is the ever-increasing training time — as models get more complicated and training data increases. In order to address this challenge, cloud providers have launched instance types with many powerful graphics processing units (GPUs) in a single node.

In this presentation we will:

- Share how you can achieve single-node, multi-GPU parallelization using native TensorFlow and Keras with TensorFlow as a backend.
- Present results from our studies that show how training time varies with the number of GPUs in the node.
- Run through a demo of a TensorFlow use case on Qubole
 
Speakers
Somya Kumar, Engineer - Qubole

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