Design and Implementation of Image Recognition Algorithm Based on Convolutional Neural Networks
Convolutional neural networks has achieved a great success in image recognition. The structure of the network has a great impact on the performance and accuracy in image recognition. To improve the performance of this algorithm, designs and implements a new architecture of the convolutional neural network by using convolutional layers with small kernel size repeatedly, which will reduce the number of training parameters effectively and increase the recognition accuracy. Compared with the state-of-art results in ILSVRC, experiments demonstrate the effectiveness of the new network architecture.
NETL
NSTL
万方数据
维普
