Deep Learning with DLI
Deep Learning with DLI


Getting started with deep learning: Learn how to leverage deep neural networks (DNN) within the deep learning workflow. Solve a real-world image classification problem using NVIDIA DIGITS
Walk through the process of data preparation, model definition, model training and troubleshooting
Use validation data to test and try different strategies for improving model performance using GPUs
Use NVIDIA DIGITS to train a DNN on your own image classification application.


Charles (Charlie) Killam, LP.D. is a Senior Deep Learning Institute Instructor at NVIDIA. Though Charlie works across all verticals, his efforts focus primarily on the application of deep neural networks (DNNs) in the healthcare space. Prior to NVIDIA, Charlie’s experience includes delivering a data analytics bootcamp for Northeastern University, a geospatial Tableau project for Stanford University, and working with MADlib – an open-source, machine learning algorithm library while at Pivotal.

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