| |
| Image classification is a widely discussed topic in the field of computer vision. In recent years, with the application of Convolutional Neural Networks (CNNs), the state-of-the-art in this area has progressed rapidly. To yield a well performed CNNs, the advanced GPU and large amount of training data are employed, thus training an entire CNNs from scratch is difficult. In practice, fine-tuning a pre-trained CNNs is a simple yet effective method to solve a target task. In this paper, we address on the issue of visualizing a fine-tuned CNNs, comparing with a small CNNs trained from scratch on the same task, to explain how fine-tuning achieve such good performance. |
|
| Keywords:Pattern recognition and intelligent system; Computer vision; convolutional neural networks; fine-tuning; visualization |
|
