Wolfram Screencast & Video Gallery

This page requires that JavaScript be enabled in your browser.
Learn how »

User-Extensible Layers for Neural Networks

Matteo Salvarezza presents a new neural net layer in Wolfram Language 12.2. Leveraging the new Wolfram Compiler, it allows users to implement custom operations and freely use them with the rest of the framework, including training functionality.

Was this video helpful?

Channels: Technology Conference

SORT BY: Latest | A-Z
1311 videos match your search.
Eric Mjolsness
Collaborative projects have resulted in several Mathematica-implemented modeling languages aimed at general-purpose biological modeling, which is a useful and topical but an indefinitely expandable goal. We update previous work on ...
Jae Bum Jung/Yan Zhuang
Phillip Todd
Василий Сороко
Phil Ramsden
Lou D'Andria
Constructing interfaces with Dynamic, DynamicModule and Manipulate is nothing new, but those aren't the only Dynamic primitives available in Mathematica. In this talk, we'll identify and demonstrate some of the ...
Галина Михалкина, Григорий Фридман
Галина Михалкина
Андрей Кротких
Антон Екименко, Кирилл Белов
Физический институт имени П.Н. Лебедева
Григорий Фридман, Олег Иванов
Галина Михалкина
Олег Кофнов
Николай Сосновский
Микаэл Эгибян
Микаэл Эгибян
Леонид Шифрин
Вахагн Геворгян
Алексей Семенов