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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The Berkeley Publisher stands out as the most user-friendly software suite designed for creating and managing knowledge-rich applications. With its decision-tree software, content specialists can efficiently convey their expertise to their intended audience. While the Berkeley Publisher is remarkably easy to navigate, it also possesses the robustness needed for complex knowledge-driven projects. Users can create decision trees without needing any programming skills, as the process is entirely graphical. The software's intuitive Microsoft Office-like interface allows for a quick learning curve, ensuring users feel comfortable in no time. Moreover, the visual format keeps the structure clear, preventing users from becoming overwhelmed by intricate code. The Berkeley Publisher also streamlines the centralized management of all necessary knowledge and information, making it a comprehensive tool for users. Effortlessly adding questions and conditions, along with implementing changes, enhances the overall usability and effectiveness of the software. Ultimately, the Berkeley Publisher transforms the way knowledge is shared and maintained, making it an invaluable resource for any organization.

Description

Caffe is a deep learning framework designed with a focus on expressiveness, efficiency, and modularity, developed by Berkeley AI Research (BAIR) alongside numerous community contributors. The project was initiated by Yangqing Jia during his doctoral studies at UC Berkeley and is available under the BSD 2-Clause license. For those interested, there is an engaging web image classification demo available for viewing! The framework’s expressive architecture promotes innovation and application development. Users can define models and optimizations through configuration files without the need for hard-coded elements. By simply toggling a flag, users can seamlessly switch between CPU and GPU, allowing for training on powerful GPU machines followed by deployment on standard clusters or mobile devices. The extensible nature of Caffe's codebase supports ongoing development and enhancement. In its inaugural year, Caffe was forked by more than 1,000 developers, who contributed numerous significant changes back to the project. Thanks to these community contributions, the framework remains at the forefront of state-of-the-art code and models. Caffe's speed makes it an ideal choice for both research experiments and industrial applications, with the capability to process upwards of 60 million images daily using a single NVIDIA K40 GPU, demonstrating its robustness and efficacy in handling large-scale tasks. This performance ensures that users can rely on Caffe for both experimentation and deployment in various scenarios.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Elastic Fabric Adapter (EFA) No 
AWS Marketplace No 
Amazon Web Services (AWS) No 
Ava Protocol Yes 
Docker No 
Fabric for Deep Learning (FfDL) No 
Lambda No 
NVIDIA DIGITS No 
OpenVINO No 
Polyaxon No 
Pop!_OS No 
Zebra by Mipsology No 

Integrations

AWS Elastic Fabric Adapter (EFA) Yes 
AWS Marketplace Yes 
Amazon Web Services (AWS) Yes 
Ava Protocol No 
Docker Yes 
Fabric for Deep Learning (FfDL) Yes 
Lambda Yes 
NVIDIA DIGITS Yes 
OpenVINO Yes 
Polyaxon Yes 
Pop!_OS Yes 
Zebra by Mipsology Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Berkeley Bridge

Founded

2005

Country

Netherlands

Website

www.berkeleybridge.com

Vendor Details

Company Name

BAIR

Country

United States

Website

caffe.berkeleyvision.org

Product Features

Knowledge Management

Artificial Intelligence (AI) No 
Cataloging / Categorization No 
Collaboration Yes 
Content Management No 
Decision Tree Yes 
Discussion Boards No 
Full Text Search No 
Knowledge Base Management Yes 
Self Service Portal Yes 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification Yes 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization Yes 

Alternatives

Alternatives

Caffe Reviews

Caffe

BAIR
MXNet Reviews

MXNet

The Apache Software Foundation
Shelf Reviews

Shelf

Shelf.io