What are the main functions of Caffe?

The primary functions of Caffe include:

1. Deep learning: Caffe is a framework used for deep learning, allowing for the training and testing of neural network models.
2. Image recognition: Caffe supports image recognition tasks such as object recognition, image classification, and object detection.
3. Image segmentation: Caffe can be used for breaking down an image into various regions or objects.
4. Object detection: Caffe can be utilized for object detection tasks, which involves identifying specific objects or regions within an image.
5. Feature extraction: Caffe can extract features from images for other tasks such as image retrieval, similarity calculation, etc.
6. Regression analysis: Caffe also supports regression analysis tasks, which involve predicting a continuous value based on input data.
7. Neural network visualization: Caffe provides a tool for visualizing neural networks, which helps users understand and debug neural network models.