Now showing items 1-5 of 5
TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow
(Georgia Institute of Technology, 2017-09-07)
TF-Slim is a TensorFlow-based library with various components. These include modules for easily defining neural network models with few lines of code, routines for training and evaluating such models in a highly distributed ...
Deep Networks for Pixel Level Inference with Applications to Medical Imaging
(Georgia Institute of Technology, 2017-09-26)
Sum-Product Networks: The Next Generation of Deep Models
The two main types of deep learning are function approximation and probability estimation. Function approximators like convolutional neural networks are robust and allow for real-time inference, but are very inflexible, ...
The New Machine Leaming Center at GA Tech: Plans end Aspirations
(Georgia Institute of Technology, 2017-03-01)
The Interdisciplinary Research Center (IRC) for Machine Learning at Georgia Tech (ML@GT) was established in Summer 2016 to foster research and academic activities in and around the discipline of Machine Learning. This ...
An overview of deep learning frameworks and an introduction to PyTorch
In this talk, you will get an exposure to the various types of deep learning frameworks – declarative and imperative frameworks such as TensorFlow and PyTorch. After a broad overview of frameworks, you will be introduced ...