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Open Source Cross-Platform Machine Learning Tools (by Facebook)
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What is Caffe2?

Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile.
Caffe2 is a tool in the Machine Learning Tools category of a tech stack.
Caffe2 is an open source tool with GitHub stars and GitHub forks. Here’s a link to Caffe2's open source repository on GitHub

Who uses Caffe2?


46 developers on StackShare have stated that they use Caffe2.

Caffe2 Integrations

Pros of Caffe2
Mobile deployment
Open Source

Caffe2 Alternatives & Comparisons

What are some alternatives to Caffe2?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
It is a deep learning framework made with expression, speed, and modularity in mind.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
Tensorflow Lite
It is a set of tools to help developers run TensorFlow models on mobile, embedded, and IoT devices. It enables on-device machine learning inference with low latency and a small binary size.
See all alternatives

Caffe2's Followers
82 developers follow Caffe2 to keep up with related blogs and decisions.