Search for tag: "ml@gt seminar series"

An overview of deep learning frameworks and an introduction to PyTorch - Soumith Chintala

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…

From  Kathryn Gentilello 2 Months ago 59    0  
name
Soumith Chintala
Date
09/06/2017

Sum-Product Networks: The Next Generation of Deep Models - Pedro Domingos

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…

From  Kathryn Gentilello 6 Months ago 75    0  
name
Pedro Domingos
Date
04/19/2017

TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow - Nathan Silberman

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…

From  Kathryn Gentilello 2 Months ago 14    0  
name
Nathan Silberman
Date
09/07/2017

The New Machine Learning Center at GA Tech: Plans and Aspirations - Irfan Essa

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…

From  Kathryn Gentilello 8 Months ago 36    0  
name
Irfan Essa
Date
03/01/2017