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Roland

TikTok’s Global Security Chief Roland Cloutier to Step Down, Reveals Internal Memo

TikTok's global chief security officer Roland Cloutier, who oversees cybersecurity, is stepping down from his role but will stay at the company, according to an internal memo seen by Reuters."With our recent announcement about data management changes in the US, it's time for me to transition from my role as Global Chief Security Officer into a strategic advisory role focusing on the business impact of security and trust programs, working directly with (CEO) Shou, ByteDance (VP of Technology) Dingkun and other senior…

Flux.jl on MNIST — What about ADAM? | by Roland Schätzle | Jul, 2022

Photo by SIMON LEE on UnsplashSo far we’ve seen a performance analysis using the standard gradient descent optimizer. But which results do we get, if we use a more sophisticated one like ADAM?In Flux.jl on MNIST — Variations of a theme, I presented three neural networks for recognizing handwritten digits as well as three variations of the gradient descent algorithm (GD) for training these networks.The follow-up article Flux.jl on MNIST — A performance analysis showed how well each of these models performs using different…

Flux.jl on MNIST — A performance analysis | by Roland Schätzle | Jun, 2022

Photo by Braden Collum on UnsplashAfter having defined a variety of models and training algorithms in a previous article, we have now a look on how well they perform when applied to the MNIST dataset.In a previous article (Flux.jl on MNIST — Variations of a theme) we have defined three different neural networks (NN) for the purpose of recognizing handwritten digits using the MNIST dataset. Moreover we implemented three variants of the gradient descent algorithm (GD) to train these models, which can be used in conjunction…

Flux.jl on MNIST — Variations of a theme | by Roland Schätzle | Jun, 2022

Photo by James Orr on UnsplashFlux.jl is a ML-stack offering lightweight components to create models and train them. Using the MNIST dataset we will see how easy it is to build different approaches for classification of this dataset just by plugging such components together.Flux.jlFlux.jl is a package written in 100% Julia. It’s aimed at building models which are typically trained using an iterative approach based on automated differentiation. The most common class of this sort of models are probably neural networks (NN)…

1:length(A) considered harmful — or how to make Julia code “generic safe” | by Roland Schätzle | Jun, 2022

Photo by Erik Witsoe on UnsplashJulia allows code to be written on a rather abstract and generic level, thus offering great expressive power. However, this advantage also poses special challenges for the programmer. This article shows how to overcome them.Several of Julia’s language concepts like the user-extendable type system, parametric types, optional type declarations and multiple dispatch make it possible to write code which is quite generic and can be applied in many situations — situations even the authors of the…

Roland combines vintage and modern for 3-in-1 Juno-X synth

Roland has announced the Juno-X programmable polyphonic synthesizer, which combines the power of the company's Zen-Core synth engine with authentic recreations of the legacy Juno-60 and Juno-106 models for three powerful synthesizers in one.Synthesized sounds and electronic beats were at the heart of numerous 80s pop music hits, and Roland's Juno-60 and Juno-106 six-voice analog synths with digitally controlled oscillators were the weapon of choice for many artists throughout that decade and beyond.The digital essences of…