[MINI] Generative Adversarial Networks
Data Skeptic5 Touko 2017

[MINI] Generative Adversarial Networks

GANs are an unsupervised learning method involving two neural networks iteratively competing. The discriminator is a typical learning system. It attempts to develop the ability to recognize members of a certain class, such as all photos which have birds in them. The generator attempts to create false examples which the discriminator incorrectly classifies. In successive training rounds, the networks examine each and play a mini-max game of trying to harm the performance of the other.

In addition to being a useful way of training networks in the absence of a large body of labeled data, there are additional benefits. The discriminator may end up learning more about edge cases than it otherwise would be given typical examples. Also, the generator's false images can be novel and interesting on their own.

The concept was first introduced in the paper Generative Adversarial Networks.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(601)

Flesch Kincaid Readability Tests

Flesch Kincaid Readability Tests

Given a document in English, how can you estimate the ease with which someone will find they can read it?  Does it require a college-level of reading comprehension or is it something a much younger st...

19 Huhti 202120min

Fairness Aware Outlier Detection

Fairness Aware Outlier Detection

Today on the show we have Shubhranshu Shekar, a Ph. D Student at Carnegie Mellon University, who joins us to talk about his work, FAIROD: Fairness-aware Outlier Detection.

9 Huhti 202139min

Life May be Rare

Life May be Rare

Today on the show Dr. Anders Sandburg, Senior Research Fellow at the Future of Humanity Institute at Oxford University, comes on to share his work "The Timing of Evolutionary Transitions Suggest Intel...

5 Huhti 202143min

Social Networks

Social Networks

Mayank Kejriwal, Research Professor at the University of Southern California and Researcher at the Information Sciences Institute, joins us today to discuss his work and his new book Knowledge, Graphs...

29 Maalis 202149min

The QAnon Conspiracy

The QAnon Conspiracy

QAnon is a conspiracy theory born in the underbelly of the internet.  While easy to disprove, these cryptic ideas captured the minds of many people and (in part) paved the way to the 2021 storming of ...

22 Maalis 202143min

Benchmarking Vision on Edge vs Cloud

Benchmarking Vision on Edge vs Cloud

Karthick Shankar, Masters Student at Carnegie Mellon University, and Somali Chaterji, Assistant Professor at Purdue University, join us today to discuss the paper "JANUS: Benchmarking Commercial and O...

15 Maalis 202147min

Goodhart's Law in Reinforcement Learning

Goodhart's Law in Reinforcement Learning

Hal Ashton, a PhD student from the University College of London, joins us today to discuss a recent work Causal Campbell-Goodhart's law and Reinforcement Learning. "Only buy honey from a local produce...

5 Maalis 202137min

Video Anomaly Detection

Video Anomaly Detection

Yuqi Ouyang, in his second year of PhD study at the University of Warwick in England, joins us today to discuss his work "Video Anomaly Detection by Estimating Likelihood of Representations."Works Men...

1 Maalis 202124min

Suosittua kategoriassa Tiede

tiedekulma-podcast
rss-poliisin-mieli
docemilia
rss-mita-tulisi-tietaa
filocast-filosofian-perusteet
rss-lapsuuden-rakentajat-podcast
rss-tiedetta-vai-tarinaa
rss-lihavuudesta-podcast
sotataidon-ytimessa
radio-antro
menologeja-tutkimusmatka-vaihdevuosiin
rss-bios-podcast
rss-duodecim-lehti
rss-metsantuntijat-podcast
rss-luontopodi-samuel-glassar-tutkii-luonnon-ihmeita