# Caffe

> deep learning framework

**Wikidata**: [Q27643379](https://www.wikidata.org/wiki/Q27643379)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Caffe_(software))  
**Source**: https://4ort.xyz/entity/caffe

## Summary
Caffe is a deep learning framework used in the field of machine learning. Licensed as free software under the 3-clause BSD license, it is designed for tasks related to convolutional architectures. The framework is primarily hosted on GitHub and is available for the Linux operating system.

## Key Facts
*   **Full Name:** Convolutional Architecture for Fast Feature Embedding.
*   **Software Type:** Deep learning framework, software framework, and free software.
*   **License:** 3-clause BSD License (BSD licenses).
*   **Latest Stable Version:** Version 1.0 (released April 18, 2017).
*   **Source Code Repository:** Hosted on GitHub at `https://github.com/BVLC/caffe`.
*   **Official Website:** `http://caffe.berkeleyvision.org/`
*   **Primary Operating System:** Linux.
*   **Field of Work:** Machine learning.
*   **Programming Language:** Associated with programming language entity Q2407.
*   **Copyright Status:** Copyrighted.

## FAQs
**What is the licensing model for Caffe?**
Caffe is distributed as free software under the 3-clause BSD License, which permits the software to be freely used, modified, and distributed.

**Where can the source code for Caffe be found?**
The source code is maintained in a repository located at `https://github.com/BVLC/caffe` under the BVLC (Berkeley Vision and Learning Center) organization.

**What is the most recent version of Caffe?**
The preferred and stable version is 1.0, which was released on April 18, 2017. Prior versions include iterations such as 0.9999 (2014) and 0.9 (2014).

**Which operating systems are compatible with Caffe?**
Caffe is explicitly listed as supporting the Linux operating system. It also has associated packages for openSUSE and a port available via MacPorts.

## Why It Matters
Caffe serves as a significant tool in the field of machine learning, specifically facilitating the development and deployment of convolutional architectures. As a free software framework, it provides researchers and developers with an open-source structure for deep learning tasks, reflected by its substantial presence across multiple Wikipedia languages and active community tags on platforms like Stack Overflow and Quora. Its structure is described by the academic source "Caffe: Convolutional Architecture for Fast Feature Embedding."

## Notable For
*   **Open Source Accessibility:** Distributed under the permissive 3-clause BSD license.
*   **Global Reach:** Available in 10 different Wikipedia languages (including English, German, Chinese, and Russian).
*   **Community Integration:** Featured on Open Hub, Quora, and GitHub as a recognized topic.
*   **Package Availability:** Offered as an installable package for openSUSE and through MacPorts.

## Body

### Identity and Classification
Caffe, fully known as **Convolutional Architecture for Fast Feature Embedding**, is a deep learning framework utilized within the field of machine learning. It is classified as a software framework and free software. The project is identified by several aliases, including "Caffe (software)" and the acronym "CAFFE." It holds the Google Knowledge Graph ID `/g/11g6ym8nbt` and a Golden ID `Caffe_(software)-BWKGJ3G`.

### Development and Release History
The framework has gone through multiple release iterations. The most recent stable release is **Version 1.0**, published on April 18, 2017. Prior to this, the development history includes a series of stable versions released in 2014:
*   **Version 0.9999**: Released August 8, 2014.
*   **Version 0.999**: Released May 20, 2014.
*   **Version 0.99**: Released March 20, 2014.
*   **Version 0.9**: Released March 19, 2014.

References for these releases are drawn from the GitHub releases page, captured as late as 2018 and 2025 in source data.

### Technical Ecosystem
Caffe is primarily written in the programming language identified as **Q2407**. The software is designed to run on the **Linux** operating system. Users can install or access the software through various channels:
*   **Source Code**: Available directly from the GitHub repository `https://github.com/BVLC/caffe`.
*   **Package Managers**: Available as an `opensuse_package` named "caffe" and a `macports_port` named "caffe."
*   **Official Site**: Documentation and information are hosted at `http://caffe.berkeleyvision.org/`.

### Community and External Presence
Caffe maintains a significant footprint across technical and social platforms. It is a recognized topic on Quora ("Caffe-Deep-Learning-Framework-1") and is tracked on Open Hub with the ID "caffe." Developers frequently engage with the framework on **Stack Exchange** under the tag "caffe" and on **GitHub** under the topic "caffe." The entity is further documented across 10 Wikipedia sites globally, including Catalan, German, English, Hebrew, Japanese, Korean, Russian, Thai, Ukrainian, and Chinese.

## References

1. [The caffe Open Source Project on Open Hub: Languages Page. Open Hub](https://www.openhub.net/p/caffe/analyses/latest/languages_summary)
2. [2025](https://github.com/EvanLi/Github-Ranking/blob/master/Data/github-ranking-2025-07-06.csv)
3. [Release 1.0. 2017](https://github.com/BVLC/caffe/releases/tag/1.0)
4. [Release 0.9999. 2014](https://github.com/BVLC/caffe/releases/tag/v0.9999)
5. [Release 0.999. 2014](https://github.com/BVLC/caffe/releases/tag/v0.999)
6. [Release 0.99. 2014](https://github.com/BVLC/caffe/releases/tag/v0.99)
7. [Release 0.9. 2014](https://github.com/BVLC/caffe/releases/tag/v0.9)
8. [Source](https://api.github.com/repos/BVLC/caffe)
9. [Source](https://github.com/BVLC/caffe)