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GTC ON-DEMAND

Artificial Intelligence and Deep Learning
Presentation
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Fast and Easy Hyper-Parameter Grid Search for Deep Learning on Rescale
Abstract:
Training deep neural networks can be time consuming when searching a large hyper-parameter space. Using the Rescale optimization platform, we present a simple interface for doing parallelized hyper-parameter grid search for deep learning models from a number of different machine learning packages of a user's choice. Offered packages are pre-configured to take advantage of NVIDIA cuDNN accelerated training, allowing the user to tradeoff cost vs. training time vs. model performance. We will demo the Rescale DNN optimization system and give performance results when trained on NVIDIA GPU hardware available on Rescale. Benchmarking will be done against the MNIST and CIFAR datasets.
 
Topics:
Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6634
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