I have also tried extensively to use WGAN's to generate language sequences. I just don't understand why it doesn't converge to results that are as good as Max Likelihood. Even with curriculum learning and peephole LSTM's, you would think it would converge to a good optimum but the results still show that max likelihood is a better approach /. I don't think the cramer gan will make that big of a difference but I think its worth a try to further improve upon this work. Can anyone think of why this doesn't work better than Max Likelihood?

The polish of modern gaming has nearly killed off the arcade era, but at what cost? The Lost Aracade, a documentary about Chinatown Fair, New York City's last true arcade, captures the camaraderie, grit and sex that was all part of that culture. "There was a melting pot of a community that congregated there," says director Kurt Vincent, "where all walks of life came together and shared one common interest: video games." A big part of the film's charm is the grime of New York City, and the "CF," as locals called it, looks like every seedy thing you ever imagined about the Big Apple. Founded at an unknown time, but came to prominence in the '70s with coin-op games like Space Invaders, Ms. Pac-Man, Defender and Asteroids.

Author Cory Doctorow tells us about a great book he has read this year and why he thinks dystopias are more popular in fiction than utopias. Author Cory Doctorow tells us about a great book he has read this year and why he thinks dystopias are more popular in fiction than utopias. What's it like after our system collapses? After the climate spins out of control, the middle class diminishes to an infinitesimal speck, the very rich grab all the wealth and resources, traditional employment disappears, factories sit empty and hundreds of thousands opt out of society altogether? To Cory Doctorow, it's not that far from where we are now, and not so bad after all.

At tech festival Brain Bar in Budapest, Péter Árvai, CEO and co-founder of Prezi, gave a talk titled "Embrace automation?" where he argued that being replaced by machines doesn't have to be a bad thing -- if we choose the right sci-fi movie future. Arvai argues that we need to rethink our definition of work first and move society towards finding ways to make automation of jobs work in our favor. To illustrate how we've done this in the past, Árvai talked about when his grandmother got her first washing machine. Instead of having to hand wash soiled baby clothing for hours on end (babies poop a lot), she could simply put it in her washer and could instead use her time to do paid work. This could continue in the future, but we'll need to create new purposes for humans in a technologically driven future.

Our Top Picks from Cannes 2017 Film Feature Just Why Did King Arthur: Legend of the Sword Flop So Bad?

Reposting because I didn't get any replies. Can anyone point me to a tutorial/book which teaches you how to deploy ML-based services in production using Flask/Django? All I have found is a bunch of blogs which don't really dive deep into the nitty gritty aspects of server side development. It gets very difficult for web-dev noobs like myself who need to move into the intermediate aspects of the field after getting familiar with the algorithms. I'd like something that explains scalable server side development from a Machine Learning-perspective and doesn't shy away from the details.

Apple has reportedly started production of its Siri-based competitor to Amazon's Echo and Google's Home, plugging a hole in its device lineup that has become increasingly noticeable over the past two years. The new device will be similar to competitors' offerings in form, offering a voice-controlled speaker that can sit in the kitchen or living room and verbally respond to basic commands and queries. According to Bloomberg News, one key differentiator will be audio quality: Apple is planning to ship the speaker with "virtual surround sound technology", which uses one speaker to create the impression of several, as well as investing heavily on general quality improvements to ensure a richer sound than competitors. But more important for many Apple fans will be the expected tight integration with the rest of the company's products. The company's music streaming service is tricky to use on Amazon's Echo, and impossible to use on the Google Home, while both devices also require users on iOS to open a dedicated app to see any further information in response to queries.

I have to warn you that I haven't had much success in generating fine samples, although the source code itself is complete. I've tried to find what's wrong, but now changed my mind to open the current code to everyone because I know many people are working on this project and my work might be a help for them.

Uber said its head of finance is leaving, and the privately held ride-hailing company also said that its first-quarter loss narrowed substantially from the prior quarter, putting it on a path toward profitability. Head of finance Gautam Gupta is leaving in July to join another startup in San Francisco, the company said, making Gupta the latest high-profile executive to leave Uber. Uber, which has been rocked by several high-level executive departures in the past few months as it grapples with a series of controversies, has been looking for a chief operating officer to help change its now-notorious "bro" culture. Gupta's exit sets the stage for a second major executive search, now for a chief financial officer who has public company experience. About a dozen top executives have left Uber since February.

I wanted to like this paper. Curriculum learning is an area that needs more research, and automating the curriculum process is a good idea. However, the use of a GAN here is completely overkill -- the space of goals here is low dimensional and relatively unstructured. I'd wager any generative modeling technique would've worked for their experiments.