Neural Network Libraries

AI Apps Machine Learning PlatformsOpen source · Linux, Windows

Neural Network Libraries by Sony is open source software designed to enhance the efficiency of neural network research, development, and implementation. It supports dynamic computation graphs, multi-target device acceleration, and is portable across Linux and Windows platforms.

1,045 followers — GitHub

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Description

Neural Network Libraries, developed by Sony, is an open source software aimed at making the research, development, and implementation of neural networks more efficient. It allows users to define computation graphs intuitively with minimal code, supporting both static and dynamic computation graph paradigms. This flexibility enables runtime network construction, which is crucial for various applications.

The library is designed with portability in mind, running on both Linux and Windows platforms. Most of its code is written in C++14, allowing deployment onto embedded devices. This makes it suitable for a wide range of applications, from mobile devices to complex systems.

Neural Network Libraries also feature a function abstraction and code template generator, making it easier for developers to add new functions with less coding effort. Additionally, it supports multi-target device acceleration through plugins, with CUDA implemented as a plugin extension.

Sony has utilized Neural Network Libraries in various products, such as the Real Estate Price Estimate Engine, which analyzes massive data to estimate prices in real estate transactions. It is also used in the Xperia Ear for gesture sensitivity functions and in the aibo robot for image recognition tasks like user identification and face tracking.

Overall, Neural Network Libraries provide a robust platform for developing neural network applications, offering flexibility, portability, and ease of use for developers.

CategoryMachine Learning Platforms
Pricing ModelOpen source
DeploymentCloud, Self-hosted
PlatformsLinux, Windows

How to use Neural Network Libraries?

Define: Create computation graphs with minimal code
Deploy: Use C++14 API for embedded devices
Extend: Add new functions using templates
Accelerate: Implement device acceleration with plugins

Neural Network Libraries's Use Cases

Real Estate Analysis
Gesture Sensitivity
Image Recognition
Embedded Device Deployment
Dynamic Network Construction

FAQ from Neural Network Libraries

Neural Network Libraries Reviews

Additional Info

CategoryMachine Learning Platforms

Websitennabla.org

Open SourceYes

PlatformsLinux, Windows

Dynamic Graph SupportYes

C++14 APIYes

Device AccelerationPlugin-based

CUDA SupportYes

Social Media Presence

GitHub1k followersgithub.com/sony

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Neural Network Libraries

Description

Neural Network Libraries's Core Features

How to use Neural Network Libraries?

Neural Network Libraries's Use Cases

FAQ from Neural Network Libraries

Neural Network Libraries Reviews