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Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

NVIDIA Deep Learning Institute: Computer vision and finance training (Day 2)

Onur Yilmaz (NVIDIA)
9:00am–5:10pm Monday, April 30, 2018
Location: Columbus Circle at Sheraton

Onur Yilmaz walks you through the fundamentals of deep learning—training neural networks and using results to improve performance and capabilities. Once you’ve learned the basics, you’ll apply deep learning to finance to make predictions and exploit arbitrage.


Day 1

Fundamentals of deep learning for computer vision

  • Implementing common deep learning workflows, such as image classification and object detection
  • Experimenting with data, training parameters, network structure, and other strategies to increase performance and capability
  • Deploying your neural networks to start solving real-world problems

Day 2

Deep learning for finance trading strategy

  • Preparing time series data and testing network performance using training and test datasets
  • Structuring and training a LSTM network to accept vector inputs and make predictions
  • Using the autoencoder as anomaly detector to create an arbitrage strategy
Photo of Onur Yilmaz

Onur Yilmaz


Onur Yilmaz is a deep learning solution architect at NVIDIA, where he works on deep learning use cases for finance and helps researchers and data scientists adopt deep learning and GPU technology. Onur holds a PhD in computer engineering from the New Jersey Institute of Technology; his dissertation focused on traditional machine learning and high-performance signal processing for finance.