Caffe: Accelerating AI with Efficient Deep Learning

History of Caffe:

Caffe was initially released by the Berkeley Vision and Learning Center (BVLC) at the University of California, Berkeley, in April 2014. It gained popularity quite quickly due to its efficiency and performance in training convolutional neural networks (CNNs) for computer vision tasks.

Interesting Facts:
> It’s like a collection of ready-made AI models that can recognize things in images.
> People can use these models to make their AI projects without starting from scratch.
> This has helped lots of researchers and developers.
> It contains a collection of pre-trained models for various tasks, such as image classification, object detection, and segmentation.

For your reference :https://caffe.berkeleyvision.org/