Caffe

Caffe

BAIR
+

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About

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.

About

Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. Keras is the most used deep learning framework among top-5 winning teams on Kaggle. Because Keras makes it easier to run new experiments, it empowers you to try more ideas than your competition, faster. And this is how you win. Built on top of TensorFlow 2.0, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It's not only possible; it's easy. Take advantage of the full deployment capabilities of the TensorFlow platform. You can export Keras models to JavaScript to run directly in the browser, to TF Lite to run on iOS, Android, and embedded devices. It's also easy to serve Keras models as via a web API.

About

SQL Server Management Studio (SSMS) is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. SSMS provides tools to configure, monitor, and administer instances of SQL Server and databases. Use SSMS to deploy, monitor, and upgrade the data-tier components used by your applications, and build queries and scripts. Use SSMS to query, design, and manage your databases and data warehouses, wherever they are - on your local computer, or in the cloud.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone looking for an open-source deep learning framework with expression, speed and modularity

Audience

Developers interested in an deep learning API solution to minimize the number of user actions required for common use cases

Audience

Organizations that need an integrated environment for managing any SQL infrastructure

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

BAIR
United States
caffe.berkeleyvision.org

Company Information

Keras
United States
keras.io

Company Information

Microsoft
Founded: 1975
United States
microsoft.com

Alternatives

MXNet

MXNet

The Apache Software Foundation

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Categories

Categories

Categories

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

BentoML
Dataiku
Dragonfly 3D World
Flower
Gemma 3
Gemma 3n
Gemma 4
Google AI Edge
Horovod
MLReef
PaliGemma 2
RunCode
StreamFlux
Weights & Biases
Zebra by Mipsology
Zorro
dbForge Data Compare for SQL Server
dbForge Schema Compare for SQL Server
dbForge Search

Integrations

BentoML
Dataiku
Dragonfly 3D World
Flower
Gemma 3
Gemma 3n
Gemma 4
Google AI Edge
Horovod
MLReef
PaliGemma 2
RunCode
StreamFlux
Weights & Biases
Zebra by Mipsology
Zorro
dbForge Data Compare for SQL Server
dbForge Schema Compare for SQL Server
dbForge Search

Integrations

BentoML
Dataiku
Dragonfly 3D World
Flower
Gemma 3
Gemma 3n
Gemma 4
Google AI Edge
Horovod
MLReef
PaliGemma 2
RunCode
StreamFlux
Weights & Biases
Zebra by Mipsology
Zorro
dbForge Data Compare for SQL Server
dbForge Schema Compare for SQL Server
dbForge Search
Claim Caffe and update features and information
Claim Caffe and update features and information
Claim Keras and update features and information
Claim Keras and update features and information
Claim SQL Server Management Studio (SSMS) and update features and information
Claim SQL Server Management Studio (SSMS) and update features and information