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 29.6K GitHub stars and 17.9K GitHub forks. Here’s a link to Caffe's open source repository on GitHub
Who uses Caffe?
4 developers on StackShare have stated that they use Caffe.
Why developers like Caffe?
Here’s a list of reasons why companies and developers use Caffe
Be the first to leave a pro
- Extensible code
Caffe Alternatives & Comparisons
What are some alternatives to Caffe?
See all alternatives
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.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.