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Bookmark or Share- Intro Tutorial - Caffe2Caffe2 Concepts. Below you can learn more about the main concepts of Caffe2 that are crucial for understanding and developing Caffe2 models. Blobs and Workspace, Tensors. Data in Caffe2 is organized as blobs. A blob is just a named chunk of data in memory.
- What is Caffe2? | Caffe2Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms.
- Caffe2 Tutorials OverviewThis follow-along tutorial starts you off with blobs, the Caffe2 workspace, and tensors. It covers nets and operators and how to build a simple model and execute it. Basics of Caffe2 - Workspaces, Operators, and Nets. This IPython tutorial introduces a few basic Caffe2 components: Workspaces; Operators; Nets; Brewing Models
- Caffe2 - GitHubCaffe2. A deep learning, cross platform ML framework with the flexibility of Python and the speed of C++. Verified.
- Caffe2 Deep Learning Framework - NVIDIA DeveloperCaffe2 is a deep learning framework enabling simple and flexible deep learning. Built on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind, allowing for a more flexible way to organize computation.
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