Imola Fodor
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Error using trainnet with multiple inputs with Feature-Feature Regression Network
OK, the solution to this particular problem is putting the option InputDataFormats as: InputDataFormats = {'CB','CB'}, ... I...
11 days ago | 1
| accepted
Question
Error using trainnet with multiple inputs with Feature-Feature Regression Network
Hello, I have an error : Error using trainnet (line 54) Number of input data formats (1) and number of network inputs (2) m...
12 days ago | 1 answer | 0
1
answerQuestion
How to format sequences to store in experience buffer for DRQN?
For DRQN (Deep Recurrent Q Learning) in POMDP it is needed to store entire sequences instead of individual transitions in the re...
9 months ago | 1 answer | 0
1
answerQuestion
Forward function with frozen batch normalization layers
In my application i have both batch normalization and dropout, and i would like to perform MC dropout with the forward function,...
9 months ago | 1 answer | 0
1
answerQuestion
Streamlining of zeroing out last 2 bits of fixed 16 bit number?
Would setting correctly the parameters of quantizer object be the solution when the goal is to perform bit truncation of fixed 1...
1 year ago | 2 answers | 0
2
answersCNN-LSTM validation data underperforming compared to training data
i had a similar problem, and it was because generating a particular spectrogram within a parfor loop and in a for loop give diff...
2 years ago | 1