’s Braid Aims to Weave Together Neural Network Components

Startup on Monday introduced Braid, an open source tool available for free to companies developing neural networks. Braid is a flexible, customizable, modular meta-framework that works with operating systems for deep learning, according to the company. It is designed for rapid development and to support arbitrary network designs. It is simple and scalable, for use with networks that need to handle many data points at large volume, said. Braid allows for quick experimentation without having to worry about the boilerplate components of the code, the company pointed out. Users can build complex architectures using drag-and-drop or through coding. Devs can use Braid to customize existing neural layers or add to them, according to Intertwining With Vega Braid works in conjunction with Vega,’s end-to-end platform that simplifies…

Link to Full Article:’s Braid Aims to Weave Together Neural Network Components

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