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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)
An overview of deep learning frameworks and an introduction to PyTorch
(2017-09-06)
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 ...
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 ...
Sum-Product Networks: The Next Generation of Deep Models
(2017-04-19)
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, ...