Learn More The use of deep learning ... neural network architecture. If we are interested in image classification, then we use CNN. If we are interested in time-dependent predictions or text ...

Transfer learning is an efficient approach for using information from large well annotated datasets (such as ImageNet) for CADe problems. “Off-the-shelf” features from deep CNN models can be applied ...