Generative Adversarial Networks (GANs): a fun new framework for estimating generative models, introduced by Ian Goodfellow et al. We are using a 2-layer network from scalar to scalar (with 30 hidden units and tanh nonlinearities) for modeling both generator and discriminator network. We are trying to reproduce this figure from the paper: Except as a live demo. As we'll see below things are not qui
Professor Gong received his BS and MS degrees from Nanjing University and his PhD degree from the University of Waterloo, Canada in 1990. He started his academic career at York University and then the University of Calgary. In 1994, he joined the University of California, Berkeley where he rose through the academic ranks to full Professor in 2001. He became the founding Chair of the Department of
Dates and Times in R R provides several options for dealing with date and date/time data. The builtin as.Date function handles dates (without times); the contributed library chron handles dates and times, but does not control for time zones; and the POSIXct and POSIXlt classes allow for dates and times with control for time zones. The general rule for date/time data in R is to use the simplest tec
Y-PLAN is crucial to our lives, because we can see how young people have the power to make changes in society and make our voices heard. / Student from Academy of Language and Technology, Bronx, NY In 2016-2017, Y-PLAN deepened its work in NYC, continuing to engage with over 600 students and 18 educators, with a goal of bringing more tools and support than ever to make NYC a healthier, more equita
Use and reproduction User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor. License This work is licensed under a Creative Commons Attribution 3.0 Unported license
First published Wed Aug 18, 2010; substantive revision Thu Feb 8, 2018 Randomness, as we ordinarily think of it, exists when some outcomes occur haphazardly, unpredictably, or by chance. These latter three notions are all distinct, but all have some kind of close connection to probability. Notoriously, there are many kinds of probability: subjective probabilities (‘degrees of belief’), evidential
Great science stems from curiosity and hard work. In this case, it all began with a broken freezer. Atsuko Kobayashi (MS '91) and Caltech professor Joseph Kirschvink (BS, MS '75)—a husband-and-wife team of researchers who divide their time between Japan and the U.S.—returned to their home to discover that their freezer had died at some point during their absence. While shopping for a new one, Koba
CS140: Operating Systems This is the home page for CS140 in Autumn 2007. If you need help, please use the class newsgroup (preferred) or email the staff mailing list rather than individual TAs or the instructor. (This helps ensure you get timely and consistent responses from us.) Friday sections will be held periodically, as announced in class, mostly to coincide with programming assignments. Loca
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