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Caffe2 vs Chainer: What are the differences?
What is Caffe2? Open Source Cross-Platform Machine Learning Tools (by Facebook). 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.
What is Chainer? A Powerful, Flexible, and Intuitive Framework for Neural Networks. It is an open source deep learning framework written purely in Python on top of Numpy and CuPy Python libraries aiming at flexibility. It supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
Caffe2 and Chainer belong to "Machine Learning Tools" category of the tech stack.
Caffe2 and Chainer are both open source tools. Caffe2 with 8.46K GitHub stars and 2.12K forks on GitHub appears to be more popular than Chainer with 4.98K GitHub stars and 1.32K GitHub forks.
Pros of Caffe2
- Mobile deployment1
- Open Source1