Home > Search Results: keywords:"weight-sharing"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Evolutionary Optimization of Convolutional Neural Networks
 Čoupek, Vojtěch ; Mrázek, Vojtěch (referee) ; Sekanina, Lukáš (advisor)
This thesis deals with the problem of neural network weights compression using the technique of Weight-Sharing and parameter optimization of this technique by unconventional optimization algorithms. The reason for the optimization is decreasing the memory or energy demands of the neural network response calculation. The aim is to design a system that accepts a neural network and reduces its memory demands. Its functionality is demonstrated with the help of several experiments. The thesis investigates the use of various optimization algorithms, additional compression using the quantization above the Weight-Sharing technique, and proposes the quantization results tuning method to improve accuracy. These procedures are first tested on the Le-Net-5 network and then applied for the MobileNet\_v2. network compression.
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English