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M. Bulín : Optimization of Neural Network . Diplomová práce, Západočeská univerzita v Plzni, Univerzitní 2732/8, 301 00 Plzeň 3, 2017.

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Neural networks can be trained to work well for particular tasks, but hardly ever we know why they work so well. Due to the complicated architectures and an enormous number of parameters we usually have well-working black-boxes and it is hard if not impossible to make targeted changes in a trained model. In this thesis, we focus on network optimization, specifically we make networks small and simple by removing unimportant synapses, while keeping the classification accuracy of the original fully-connected networks. Based on our experience, at least 90% of the synapses are usually redundant in fully-connected networks. A pruned network consists of important parts only and therefore we can find input-output rules and make statements about individual parts of the network. To identify which synapses are unimportant a new measure is introduced. The methods are presented on six examples, where we show the ability of our pruning algorithm 1) to find a minimal network structure; 2) to select features; 3) to detect patterns among samples; 4) to partially demystify a complicated network; 5) to rapidly reduce the learning and prediction time. The network pruning algorithm is general and applicable for any classification problem.

Detail of publication

Title: Optimization of Neural Network
Author: M. Bulín
Language: English
Date of publication: 20 Jun 2017
Year: 2017
Type of publication: Habilitation and dissertation theses
Book title: Diplomová práce
Publisher: Západočeská univerzita v Plzni
Address: Univerzitní 2732/8, 301 00 Plzeň 3
/ 2020-05-15 14:57:21 /


network pruning, minimal network structure, network demystification, weight significance, removing synapses, network pathing, feature energy, network optimization, neural network


 author = {M. Bul\'{i}n},
 title = {Optimization of Neural Network},
 year = {2017},
 publisher = {Z\'{a}pado\v{c}esk\'{a} univerzita v Plzni},
 address = {Univerzitn\'{i} 2732/8, 301 00 Plze\v{n} 3},
 booktitle = {Diplomov\'{a} pr\'{a}ce},
 url = {},