Caffe

Caffe

BAIR
TensorFlow

TensorFlow

5.0 out of 5 stars
Caffe TensorFlow

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Caffe:

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.
TensorFlow:

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
Caffe:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
TensorFlow:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Caffe:

Audience

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

Audience

Organizations interested in a powerful open source machine learning platform
Caffe:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
TensorFlow:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Caffe:

API

Offers API Supported
TensorFlow:

API

Offers API Supported
Caffe:

Screenshots and Videos

TensorFlow:

Screenshots and Videos

Caffe:

Pricing

No information available.
Free Version Supported
Free Trial Not Supported
TensorFlow:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Caffe:

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
TensorFlow:

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5
TensorFlow:

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?
Caffe:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
TensorFlow:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Caffe:

Company Information

BAIR
United States
caffe.berkeleyvision.org
TensorFlow:

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org
Caffe:

Alternatives

MXNet

MXNet

The Apache Software Foundation
TensorFlow:

Alternatives

Gemini platform

Gemini platform

Google
4.3 out of 5 stars
Caffe:
DeepSpeed

DeepSpeed

Microsoft
TensorFlow:
Caffe:
TensorFlow:
Caffe:
Gemini platform

Gemini platform

Google
4.3 out of 5 stars
TensorFlow:
Caffe:
TensorFlow:
Caffe:

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported
TensorFlow:

Categories

Caffe:

Deep Learning Features

Convolutional Neural Networks Not Supported
Document Classification Supported
Image Segmentation Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported
Visualization Supported
TensorFlow:

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported
Caffe:

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
AWS Marketplace Supported
Fabric for Deep Learning (FfDL) Supported
Lambda Supported
NVIDIA DIGITS Supported
OpenVINO Supported
Polyaxon Supported
Pop!_OS Supported
Zebra by Mipsology Supported
AI Squared Not Supported
Azure Marketplace Not Supported
BHK Cloud Not Supported
Cleanlab Not Supported
Determined AI Not Supported
Keepsake Not Supported
Label Studio Not Supported
Qualcomm AI Hub Not Supported
navio Not Supported
TensorFlow:

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
AWS Marketplace Supported
Fabric for Deep Learning (FfDL) Supported
Lambda Supported
NVIDIA DIGITS Supported
OpenVINO Supported
Polyaxon Supported
Pop!_OS Supported
Zebra by Mipsology Supported
AI Squared Supported
Azure Marketplace Supported
BHK Cloud Supported
Cleanlab Supported
Determined AI Supported
Keepsake Supported
Label Studio Supported
Qualcomm AI Hub Supported
navio Supported
Caffe:
Claim Caffe and update features and information
Claim Caffe and update features and information
TensorFlow:
Claim TensorFlow and update features and information
Claim TensorFlow and update features and information