Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Neural Network Training Progress Visualization
Němcová, Silvie ; Baskar, Murali Karthick (oponent) ; Beneš, Karel (vedoucí práce)
This work studies a neural network model during its training. The aim of this thesis is to visualize the training of the model and to examine the training. To achieve this goal I choose to implement a set of tools in Python language. The implementation successfully reproduces the linear path experiment, the identification of robust and ambient layers and the visualization of the loss surface. In addition the quadratic path experiment is presented in this thesis as novel method for analyzing the neural network training progress visualization.
Neural Network Training Progress Visualization
Němcová, Silvie ; Baskar, Murali Karthick (oponent) ; Beneš, Karel (vedoucí práce)
This work studies a neural network model during its training. The aim of this thesis is to visualize the training of the model and to examine the training. To achieve this goal I choose to implement a set of tools in Python language. The implementation successfully reproduces the linear path experiment, the identification of robust and ambient layers and the visualization of the loss surface. In addition the quadratic path experiment is presented in this thesis as novel method for analyzing the neural network training progress visualization.

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