I'm super happy to introduce my side project called: deepy. Here is the code: https://github.com/kaszperro/deepy The purpose was to learn how neural networks, autograd and other mechanisms work. Also I think, that those who want to know how mainstream libraries work, it's good starting point, because the code is very small and simple. It's still in early stage though, but so far I've programmed: It uses numpy for computations.

As recently as five years ago, the advent of Netflix, Hulu, Amazon Prime Video and YouTube Premium sounded the death knell for multi-billion dollar businesses, altered the living-room habits of millions of people, and changed studio production structures permanently. Companies that adapted survived, and the viewing audience received a handful of clear benefits in return -- most notably the ability to watch high-quality shows and movies on demand and, most recently, an explosion of award-winning, culturally transformative entertainment options. The idea of a "Netflix for games" service has been floating around since long before video-streaming became a thing, but it hasn't found a solid foothold quite yet. Streaming games is a more complicated process than streaming video, since it adds user input to the mix. While being piped into a player's home or phone from a server that could be hundreds of miles away, the game has to respond, without lag, to every button press a player makes.

Gradient-based optimization of absolute errors is tricky, since the gradient is "never" zero. In theory, adaptive methods should be able to damp oscillations so that it converges to the minimum. However, I found none of the'standard' methods were able to do this "out of the box". Learning rate decay could alleviate the problem, but needs manual tuning which I would rather avoid. Does anyone know of a method that can do this?

When watching a film, you may be the sort of person who immerses themselves in the story and special effects with a view to a couple of hours of escapism. Or, perhaps like me, you are the type who wants to work out what is real and what is computer generated imagery (CGI) and how realistic it really is. Either way, filmmakers continue to push the boundaries to improve the quality and variety of the special effects they deliver with the purpose of enhancing the audience experience and keep us coming back to the box-office. Films are now leaving the studio and the location shoot and moving in a steady stream towards the data center. The latest wave of technology seeing adoption includes areas such as Machine Learning and Deep Learning, which are all subcategories of artificial intelligence (AI).

Amazon Alexa has been programmed to read the news headlines in the style of a newsreader. The popular voice assistant will now emphasise words, and mimic the intonation and pace of a TV anchor to present the news in a more natural way. Newsreader Alexa has been trained to read the daily bulletins when the user says'Alexa, what's the latest?' Amazon Alexa has been programmed to read the news headlines in the style of a newsreader. The virtual assistant already was able to read out the headlines but using the traditional robotic voice. Amazon conducted tests and found that people preferred hearing the news in this more realistic and listener friendly manner, compared to the robotic tone.

In high school, Mackenzie Leake shot a movie about being afraid to get her driver's license. "A very millennial subject," she jokes. It gave her a punishing lesson in editing video: Leake spent countless hours, over the course of weeks, "scrubbing" through her footage to find the best shots, then painstakingly assembling them. "It's a ton of grunt work," she notes. Now, seven years later, she's trying to accelerate the process.

From swooping landscapes to the most dramatic selfie vids ever, a drone can capture it all. These tips will help make your footage extra fly. The first setting to adjust is frame rate: 30 frames per second looks like reality TV, while 24 fps looks like a Hollywood feature--set it to 24. You typically want to shoot in 4K, which will capture the tiniest details and give you flexibility to crop the frame while editing. For action shots, opt for 1080p at 60 or even 120 fps, so you can slow down the footage later.

Netflix's choose-your-own-adventure content will find its audience--first through novelty, then because creators will tease ever more fireworks out of the form. But interactive TV starts at a disadvantage: It is arriving just as we've learned, in so many ways, not to interact at all. Peter Rubin (@provenself) wrote about the Tetris effect in issue 26.11. This article appears in the February issue.

The sequel to the hit indie game Her Story will have a relatively star-studded cast. Creator Sam Barlow and Annapurna Interactive have revealed the main cast for Telling Lies, and you might just recognize some of them even if they aren't mega-stars. Logan Marshall-Green (Charlie Holloway in Prometheus) will play David, while Alexandra Shipp (Storm in X-Men: Apocalypse) takes the role of Ava. Kerry Bishé of Halt and Catch Fire fame will play Emma, and Angela Sarafyan (Clementine from Westworld) will play Max. There's even a trendy casting announcement: Bird Box's Vivien Lyra Blair (the "girl" in Netflix's movie) has a speaking part.

With video streaming services and social media platforms reporting large amounts of traffic, videos are slowly but surely moving front and center as the most popular form of online content. Plus, they are made more accessible by the widespread use of mobile devices and the growing average speed of Internet connectivity. Look no further than sites like Twitch and YouTube to understand how powerful videos can be at keeping people glued to their screens. As a matter of fact, according to YouTube, U.S. residents aged 18-34 watch more videos on mobile devices than they do on any TV broadcast or cable network. Bearing this in mind, performing video optimization has never been as important as it is today. To get more eyeballs looking at your videos, you must do your best to ensure that people can find your videos online and that they choose to watch your video over the vast pool of competition -- something that was covered in the YouTube SEO 101 post. Getting yourself noticed on YouTube can be quite a daunting challenge, but in this post, we've rounded up some of the best tools that can help you optimize your YouTube videos for SEO. Without further ado, let's get started! One of the most crucial parts of producing videos is getting everything ready even before the camera starts rolling.