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ID: Category: Severity: Reproducibility: Date Submitted: Last Update:
108 Data analysis minor always 2009-08-22 20:20 2009-08-22 20:21
Reporter: SergeyB Platform:  
Assigned To: SergeyB OS:  
Priority: normal OS Version:  
Status: resolved Product Version:  
Product Build: Resolution: fixed  
Projection: none      
ETA: none Fixed in Version: 2.1.0  
Programming language: Unspecified
Summary: 0000108: FIXED: overflows in neural networks under some compilers
Description: Neural networks in 2.0.1 use tanh as activation function. Some compilers (Delphi 7, for example) have buggy standard libraries that can't calculate TanH of large arguments because of overflow (although final result is "1"). So if neural network is provided with inputs that are too large, such network will crash during training. Strictly speaking, it is Delphi bug, but we'll fix it anyway :)

This problem is fixed by using special code for inputs that are larger than 100.
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Issue History
Date Modified Username Field Change
2009-08-22 20:20 SergeyB New Issue
2009-08-22 20:20 SergeyB Status new => assigned
2009-08-22 20:20 SergeyB Assigned To => SergeyB
2009-08-22 20:20 SergeyB Programming language => Unspecified
2009-08-22 20:20 SergeyB Status assigned => resolved
2009-08-22 20:20 SergeyB Fixed in Version => [NOT RELEASED YET] 2.1.0 (to be released in August 2009)
2009-08-22 20:20 SergeyB Resolution open => fixed
2009-08-22 20:21 SergeyB Summary FIXED: neural networks can generate overflows => FIXED: overflows in neural networks under some compilers
2009-08-22 20:21 SergeyB Description Updated

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