Using VisIt to Evaluate the Accuracy of a Convolutional Neural Network

被引：0
|
作者：
Leonard, Brian [1 ]
Fan, Minyue [1 ]
Welling, Joel S. [2 ]
机构：
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[2] Carnegie Mellon Univ, Pittsburgh Supercomp Ctr, Pittsburgh, PA 15213 USA
来源：
PRACTICE AND EXPERIENCE IN ADVANCED RESEARCH COMPUTING 2020, PEARC 2020 | 2020年
基金：
美国国家科学基金会; 美国安德鲁·梅隆基金会;
关键词：
neural networks; classifier; 3D;
D O I：
10.1145/3311790.3404537
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Using VisIt, we visualized a 3D volume of neural axons for a larval zebrafish from electron microscope data and locations for those neurons estimated by a deep neural network. Errant points were recorded and used to further train the network. These computations were performed using Tensorflow, and utilized GPU's to increase performance.
引用
收藏
页码：551 / 552
页数：2
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