Name: Caffe Deep Learning Framework
Rating: 7 (3 reviews)
Author: Open Source

Digital Adoption

Help Desk

Web and Video Conferencing

Customer Support

Mobile App Development

Push Notifications

Text Editors

Development

Online Learning

Education

Business Intelligence (BI)

Collaboration

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Recruitment Automation

Resume Parsing

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

AI Agent Builder

App Development

Browser

Cloud Storage

Component Content Management

Data Center Infrastructure Management

Fraud Detection

Hosted Virtual Desktop

Hyper-Converged Infrastructure

Integration Platform as a Service (iPaaS)

Internet of Things (IoT)

Managed Print

Network Performance Monitoring

Process Mining

Security Awareness Training

Software Defined Storage (SDS)

Solid State Drives

Tower Servers

Virtual Desktop Infrastructure (VDI)

Virtual Private Network (VPN)

VoIP Monitoring

Web Application Firewalls

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Business Card Scanning

Content Management

Data Management

Digital Analytics

Digital Experience Platforms (DXP)

Email Management

Email Marketing

Event Registration

Graphics

Heatmap and Session Recording

Marketing Automation

Marketing OS

Online Reputation Management

Real-Time Interaction Management

Search Marketing Intelligence

Social Media Management

Social Media Publishing

Survey & Forms Building

Swag Management

Web Analytics

Marketing

Business Caller ID

Project Management

Professional Services

Customer Relationship Management (CRM)

eCommerce

Sales

Assisted Living

Car Rental

Church Management

Construction Accounting

Jail Management

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

Keras

Open Source

TensorFlow

IBM watsonx.ai

IBM Watson Studio on Cloud Pak for Data

OpenText Magellan

OpenText

InMoment Text Analytics

InMoment

Qlik Sense

Qlik

SAS Viya

Google Cloud AI

Google

Azure Machine Learning

Microsoft

Pytorch

Amazon Deep Learning AMIs

Amazon AWS

Hugging Face

Amazon Augmented AI (Amazon A2I)

IBM Db2 Analytics Accelerator

Caffe Deep Learning Framework, developed by Berkeley AI Research (BAIR), is a tool designed to provide expression, speed, and modularity in deep learning. According to the vendor, Caffe allows users to define models and optimizations through configuration without hard-coding, offering flexibility for customization and adaptation to different tasks and settings. It is aimed at businesses of various sizes, from startups to large-scale enterprises. The product is utilized by data scientists, machine learning engineers, computer vision researchers, academic research projects, and industrial applications in vision, speech, and multimedia.

## Key Features

**Modularity**: According to the vendor, Caffe's modular design enables users to define models and optimizations through configuration, allowing for customization and adaptation to different tasks and settings.

**Expressive Architecture**: The vendor claims that Caffe's architecture encourages application and innovation by providing an easy way to experiment with different architectures and parameters through configuration, without modifying the underlying code.

**Switch Between CPU and GPU**: Caffe offers the flexibility to seamlessly switch between training on a CPU or GPU, allowing users to train models on powerful GPU machines and deploy them on commodity clusters or mobile devices, as stated by the vendor.

**Extensible Code**: According to the vendor, Caffe's code is extensible, allowing for active development and contributions from a large community of developers, ensuring that the framework stays up-to-date with the latest advancements in code and models.

**Speed**: Caffe is known for its speed, with the vendor claiming that it is one of the fastest convnet implementations available, capable of processing over 60 million images per day with a single NVIDIA K40 GPU.

**Community**: According to the vendor, Caffe has a vibrant community of users and contributors, including academic researchers, startup prototypes, and large-scale industrial applications. The community provides support, knowledge sharing, and contributes to the continuous improvement of the framework.

**Documentation**: Caffe offers comprehensive documentation, including tutorials, practical guides, and API documentation, according to the vendor. This documentation aims to make it easier for users to understand and navigate the framework.

**Model Zoo**: Caffe provides a model zoo where users can find pre-trained models for various tasks, serving as a starting point for customization and saving time and effort in training from scratch, as stated by the vendor.

**Benchmarking**: According to the vendor, Caffe offers benchmarking tools that allow users to compare the performance of different networks and GPUs for both inference and learning. This helps users make informed decisions about hardware and network architectures.

**Command Line and Interface Support**: Caffe provides command line tools and interfaces in Python and MATLAB, offering flexibility and convenience for users to interact with the framework and perform tasks such as training, testing, and deploying models, according to the vendor.

Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

Oracle Base Database Service - Standard

Oracle Base Database Service - Enterprise

Oracle Base Database Service - High Performance

Standard Edition

Enterprise Edition

Personal Edition

Oracle Database

Saturn Cloud

Caffe Deep Learning Framework

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

Likelihood to Recommend

Caffe Deep Learning Framework 2019-01-16 13:04:00

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Easy to master

Configuration files

Community support

Learning curve

Image based

Home

Machine Learning Tools

Caffe was chosen by us, only for the experimental purposes of trying out some DL frameworks, as it is one of the earliest DL frameworks, and is dedicated for vision, image recognition and classification. We wanted to see how it may be used in the commercial invoice image auto-classification use case. As soon as TensorFlow was introduced, Caffe was not used anymore.

Caffe is good for traditional image-based CNN as this was its original purpose.

Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.

Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.

Caffe Deep Learning Framework

Overview

What is Caffe Deep Learning Framework?