The Complexity of Learning Neural Networks
Data Skeptic20 Okt 2017

The Complexity of Learning Neural Networks

Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the many techniques that are central to the current ongoing big-data revolution is far from being sufficient for rigorous analysis, at best. In this episode of Data Skeptic, our host Kyle Polich welcomes guest John Wilmes, a mathematics post-doctoral researcher at Georgia Tech, to discuss the efficiency of neural network learning through complexity theory.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(601)

Github Collaboration Network

Github Collaboration Network

In this episode we discuss the GitHub Collaboration Network with Behnaz Moradi-Jamei, assistant professor at James Madison University.  As a network scientist, Behnaz created and analyzed a network of...

11 Nov 202442min

Graphs and ML for Robotics

Graphs and ML for Robotics

We are joined by Abhishek Paudel, a PhD Student at George Mason University with a research focus on robotics, machine learning, and planning under uncertainty, using graph-based methods to enhance rob...

4 Nov 202441min

Graphs for HPC and LLMs

Graphs for HPC and LLMs

We are joined by Maciej Besta, a senior researcher of sparse graph computations and large language models at the Scalable Parallel Computing Lab (SPCL). In this episode, we explore the intersection of...

29 Okt 202452min

Graph Databases and AI

Graph Databases and AI

In this episode, we sit down with Yuanyuan Tian, a principal scientist manager at Microsoft Gray Systems Lab, to discuss the evolving role of graph databases in various industries such as fraud detect...

21 Okt 202435min

Network Analysis in Practice

Network Analysis in Practice

Our new season "Graphs and Networks" begins here!  We are joined by new co-host Asaf Shapira, a network analysis consultant and the podcaster of NETfrix – the network science podcast. Kyle and Asaf di...

14 Okt 202429min

Animal Intelligence Final Exam

Animal Intelligence Final Exam

Join us for our capstone episode on the Animal Intelligence season. We recap what we loved, what we learned, and things we wish we had gotten to spend more time on. This is a great episode to see how ...

7 Okt 202430min

Process Mining with LLMs

Process Mining with LLMs

David Obembe, a recent University of Tartu graduate, discussed his Masters thesis on integrating LLMs with process mining tools. He explained how process mining uses event logs to create maps that ide...

24 Sep 202426min

Open Animal Tracks

Open Animal Tracks

Our guest today is Risa Shinoda, a PhD student at Kyoto University Agricultural Systems Engineering Lab, where she applies computer vision techniques. She talked about the OpenAnimalTracks dataset and...

17 Sep 202422min

Populärt inom Vetenskap

allt-du-velat-veta
dumma-manniskor
p3-dystopia
rss-ufobortom-rimligt-tvivel
ufo-sverige
kapitalet-en-podd-om-ekonomi
sexet
medicinvetarna
svd-nyhetsartiklar
rss-vetenskapsradion
hacka-livet
rss-vetenskapsradion-2
paranormalt-med-caroline-giertz
det-morka-psyket
ufo-sverige-2
rss-spraket
halsorevolutionen
rss-klotet
dumforklarat
ideer-som-forandrar-varlden