Caffe

Caffe

BAIR
+
+

Related Products

  • Vertex AI
    961 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Dataiku
    204 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Google Compute Engine
    1,170 Ratings
    Visit Website
  • Bright Data
    1,348 Ratings
    Visit Website
  • Cloudflare
    1,995 Ratings
    Visit Website
  • Mentornity
    99 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    355 Ratings
    Visit Website

About

AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.

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.

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

Deep Learning solution that helps developers quickly build scalable, secure deep learning applications

Audience

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

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

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

Review this Software

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

Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/machine-learning/amis/

Company Information

BAIR
United States
caffe.berkeleyvision.org

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Alternatives

MXNet

MXNet

The Apache Software Foundation
DeepSpeed

DeepSpeed

Microsoft
Vertex AI

Vertex AI

Google

Categories

Categories

Deep Learning Features

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

Integrations

AWS Marketplace
Amazon Web Services (AWS)
AWS Elastic Fabric Adapter (EFA)
AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Docker
Fabric for Deep Learning (FfDL)
Lambda
NVIDIA DIGITS
OpenVINO
Polyaxon
Pop!_OS
PuppyGraph
Zebra by Mipsology

Integrations

AWS Marketplace
Amazon Web Services (AWS)
AWS Elastic Fabric Adapter (EFA)
AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Docker
Fabric for Deep Learning (FfDL)
Lambda
NVIDIA DIGITS
OpenVINO
Polyaxon
Pop!_OS
PuppyGraph
Zebra by Mipsology
Claim AWS Deep Learning AMIs and update features and information
Claim AWS Deep Learning AMIs and update features and information
Claim Caffe and update features and information
Claim Caffe and update features and information