DenseNet
DenseNet is a network architecture that efficiently connects layers within dense blocks, optimizing learning and reducing parameters. It excels in accuracy on CIFAR10/100 and ImageNet using fewer resources. Versatile implementations in PyTorch and TensorFlow, coupled with memory-efficient features, make it ideal for various applications. Comprehensive documentation and pre-trained models are available for developers seeking adaptable solutions in image classification.
