Kyle Kranen

Kyle Kranen is a deep learning software engineer at NVIDIA. He received a BS in electrical engineering and computer sciences from the University of California, Berkeley. At NVIDIA, his research is currently concentrated on recommender systems and time-series modeling.

Posts by Kyle Kranen

Technical Walkthrough 1

Time Series Forecasting with the NVIDIA Time Series Prediction Platform and Triton Inference Server

Learn how the Time Series Prediction Platform provides an end-to-end framework that enables users to train, tune, and deploy time series models. 13 MIN READ
Technical Walkthrough 0

Accelerating the Wide & Deep Model Workflow from 25 Hours to 10 Minutes Using NVIDIA GPUs

In this post, we detail the new TensorFlow2 implementation of the Wide & Deep model that was recently added to the NVIDIA Deep Learning Examples repository. 14 MIN READ