ZipNet: ZFNet-level accuracy with 48× fewer parameters

• Main Authors: Antioquia, Arren Matthew C., Tan, Daniel Stanley, Azcarraga, Arnulfo P., Cheng, Wen Huang, Hua, Kai Lung
• Format: text
• Published: Animo Repository 2018
• Subjects: Neural networks (Computer science); Image converters; Visual communication; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3024
• Institution: De La Salle University

With the introduction of Convolutional Neural Networks, models for image classification achieve higher classification accuracy. Based on the pattern of the design of CNN architectures, increasing the number of layers equates to a higher classification accuracy, but also increases the number of param...