Descent

Prying behind the interface to see the effects of SGD parameters on your model trainingBehind the simple interfaces of modern machine learning frameworks lie large amounts of complexity. With so many dials and knobs exposed to us, we could easily fall into cargo cult programming if we don’t understand what’s going on underneath. Consider the many parameters of Torch’s stochastic gradient descent (SGD) optimizer:def torch.optim.SGD( params, lr=0.001, momentum=0, dampening=0, weight_decay=0, nesterov=False, *,…

Skeletal remains of an adult and a child at Altwies Op dem Boesch. Credit: Foni Le Brun-Ricalens, Institut National de Recherches Archéologiques, Luxembourg Poignant prehistoric burials containing the remains of an adult and child laid in a grave as though embracing in death have long fascinated archaeologists. Using early Bronze Age examples from…

Deep Dive on Stochastic Gradient Descent. Algorithm, assumptions, benefits, formula, and practical implementationImage by DALL-E-2IntroductionThe image above is not just an appealing visual that drew you to this article (despite its length), but it also represents a potential journey of the SGD algorithm in search of a global minimum. In this journey, it navigates rocky paths where the height symbolizes the loss. If this doesn’t sound clear now, don’t worry, it will be by the end of this article.Index:· 1: Understanding…

Are You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointContinue reading on Towards Data Science » Are You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners,…

Exploring the shared language of gradient descent and Newton's motion equationsPhoto by Luddmyla . on UnsplashI remember the first course on Machine Learning I took during undergrad as a physics student in the school of engineering. In other words, I was an outsider. While the professor explained the backpropagation algorithm via gradient descent, I had this somewhat vague question in my head: "Is gradient descent a random algorithm?" Before raising my hand to ask the professor, the non-familiar environment…

Japan's SLIM space probe entered the Moon's orbit on Monday in a major step towards the country's first successful lunar landing, expected next month. The Smart Lander for Investigating Moon (SLIM) is nicknamed the "Moon Sniper" because it is designed to land within 100 metres (328 feet) of a specific target on the lunar surface.If successful, the touchdown would make Japan only the fifth country to have successfully landed a probe on the Moon, after the United States, Russia, China and India. On Monday, SLIM…

The main optimization algorithms used for training neural networks, explained and implemented from scratch in PythonPhoto by Jack Anstey / UnsplashIn my previous article about gradient descent, I explained the basic concepts behind it and summarized the main challenges of this kind of optimization.However, I only covered Stochastic Gradient Descent (SGD) and the “batch” and “mini-batch” implementation of gradient descent.Other algorithms offer advantages in terms of convergence speed, robustness to “landscape” features…

How to plot the trajectory of a point over a complex surfaceContinue reading on Towards Data Science » How to plot the trajectory of a point over a complex surfaceContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the…

Tom Clancy's The Division 2 team has announced that it will be sanctioning players who used an exploit in the game's new Descent mode to gain unfair amounts of XP and SHD levels. Sanctioned players will be temporarily suspended, and repeat offenders may find their accounts permanently banned."We are aware that certain players have been exploiting a bug in the game that allowed players to join another player already in Descent through the Ubisoft Connect interface and gain unfair amounts of XP and SHD…

Posted in: Comics, DC Comics, Preview | Tagged: Comics, dc, previewsWonder Woman #800: the final frontier of truth, or just another cheap sales gimmick? Dive into Diana's dreamscape with us.Published Sun, 18 Jun 2023 13:27:10 -0500 by Jude Terror | Well, comic book fans, it looks like DC decided to give Wonder Woman a truly "memorable" celebration for reaching its 800th issue – by pulling the plug! I mean, seriously, it's like they're taking a page right out of Marvel's…