def alexnet(**kwargs)
时间: 2023-10-01 20:02:39 浏览: 56
As an AI language model, I am not able to see the entire code to give a thorough explanation. However, I can tell you that AlexNet is a deep convolutional neural network that was designed by Alex Krizhevsky and his team in 2012. It was the winner of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2012, significantly outperforming the previous state-of-the-art methods.
The architecture of AlexNet consists of 5 convolutional layers followed by max-pooling layers, and then 3 fully connected layers. The network consists of a total of 60 million parameters, which was very large at the time of its release.
AlexNet made several key contributions that revolutionized the field of computer vision, such as the use of rectified linear units (ReLU) activation function, data augmentation techniques, dropout regularization, and the use of GPUs for faster training.