What is Caffe?
It is a deep learning framework made with expression, speed, and modularity in mind.
Caffe is a tool in the Machine Learning Tools category of a tech stack.
Caffe is an open source tool with 30.4K GitHub stars and 18.3K GitHub forks. Here’s a link to Caffe's open source repository on GitHub
Who uses Caffe?
22 developers on StackShare have stated that they use Caffe.
Pros of Caffe
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- Extensible code
Caffe Alternatives & Comparisons
What are some alternatives to Caffe?
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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.
It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
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.
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.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/