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ThomasP


Last seen: 대략 2년 전 |  2022년부터 활동

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Experiment Manager extremely slow
Hello, when I train a neural network it takes about 5-7 mins of computing time on my pc. When I compute it via experiment manag...

대략 2년 전 | 답변 수: 1 | 1

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Neural Network Input Layer Data Normalization ("rescale-zero-one")
Hello, I'd like to understand how the data normalization feature of a deep learning input layer works. If I e.g. train my net...

대략 2년 전 | 답변 수: 1 | 1

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using predictAndUpdateState with an LSTM with featureInputLayer
Hello, I'd like to ask if it's possible to use "predictAndUpdateState" with an LSTM that has an featureInputLayer? If I train ...

2년 초과 전 | 답변 수: 1 | 0

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Error on custom layer (MATLAB EXAMPLE) (nnet.Layers.Acceleratable path cannot be found)
Hello everyone, I literally just copied the matlab example for a custom regression layer into my file and tried to run it and I...

2년 초과 전 | 답변 수: 1 | 2

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NARXNET: Target Test Data needed for prediction... why?
Hello, why is the target data needed to make predictions using Narxnet. I find it a bit weird because I want predictions solely...

2년 초과 전 | 답변 수: 1 | 0

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Neural Network Loss Function: Mean (absolute) Cubic Error
Hello, for my neural network, it's very important to not have a high error-range, i.e. a higher mean-error is better than a hig...

2년 초과 전 | 답변 수: 1 | 0

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Neural Network: Custom Loss Function: Minimize Range/Amplitude
Hello, I have a dataset of errors and an LSTM neural network which is predicting these errors. Overall, the network is doing a...

2년 초과 전 | 답변 수: 1 | 0

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Feed Forward Recurrent Neural Network: Use output of Iteration 1 as Input for Iteration2
Hello everyone, I'd like to create a simple recurrent neural network, no LSTM, just a simple Feed-Forward net that uses the out...

2년 초과 전 | 답변 수: 1 | 0

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Parallel CPU computing for recurrent Neural Networks (LSTMs)
Hello, this page: https://de.mathworks.com/help/deeplearning/ug/neural-networks-with-parallel-and-gpu-computing.html states th...

2년 초과 전 | 답변 수: 2 | 0

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